Discover verified Model Context Protocol servers to extend your AI assistants. Install configs for Claude Code, Cursor, VS Code, and more.
Browse 260 MCP servers across databases, communication platforms, cloud providers, DevOps pipelines, analytics services, and version control systems. Each server entry includes verified compatibility badges, GitHub star counts, transport type, install commands, and security notes. The Model Context Protocol (MCP) is an open standard that lets AI assistants like Claude, Cursor, and GitHub Copilot interact with external tools and data sources through a unified interface — find the right server to connect your AI workflow to the services you already use.
Connect AI assistants to Slack for reading and sending messages, managing channels, and searching workspace history.
Connect to PostgreSQL databases for querying, schema inspection, and data management via MCP.
Access and manage Google Drive files, folders, and shared drives through AI assistants.
Perform web and local searches using the Brave Search API through AI assistants.
Automate browser interactions using Puppeteer for web scraping, testing, and screenshots via MCP.
Read, write, and manage local files and directories through AI assistants with sandboxed access.
Perform Git operations including commits, branches, diffs, and log queries through AI assistants.
Query and manage SQLite databases with schema inspection and data manipulation via MCP.
Interact with GitHub repositories, issues, pull requests, and actions through the Model Context Protocol.
Context7 provides up-to-date, version-specific documentation and code examples directly in your AI coding context. Instead of hallucinated APIs from outdated training data, Context7 fetches real documentation for libraries like React, Next.js, Prisma, and 1000+ more. It resolves version conflicts by letting you specify exact library versions, ensuring code suggestions use current APIs. The server indexes official docs, README files, and code examples, making them searchable and retrievable through natural language queries within your AI assistant.
Access the Hugging Face ecosystem directly from your AI coding assistant. Search models, datasets, and Spaces; read model cards and documentation; browse dataset previews; and manage your HF repositories. The server provides tools for discovering the right model for your task, understanding model capabilities through cards, and integrating models into your code. It also supports running inference on hosted models and managing your model hub repositories — push models, update READMEs, and manage access tokens all from your editor.
Read, create, and update Notion pages, databases, and blocks programmatically via MCP.
Browser automation with Playwright for cross-browser testing, scraping, and interaction via MCP.
Bridge between AI coding assistants and Chrome DevTools Protocol, enabling AI-powered web debugging and testing. The server connects to Chrome/Chromium instances and provides tools for inspecting DOM elements, monitoring network requests, capturing console output, profiling performance, and taking screenshots — all accessible to your AI assistant. Ideal for automated testing workflows where the AI can observe application behavior, identify issues, and suggest fixes based on actual runtime data rather than just reading source code.
Bridge GitHub Copilot capabilities with MCP for code completions, chat, and workspace intelligence.
Run analytical SQL queries against local files (CSV, Parquet, JSON) using DuckDB's high-performance OLAP engine directly from your AI assistant. DuckDB processes data locally without a server, making it ideal for ad-hoc analysis, data exploration, and ETL prototyping. The server supports querying files from local disk, S3, and HTTP URLs. Your AI can analyze datasets, generate reports, create aggregations, and explore data schemas — all with the speed of columnar processing and the familiarity of SQL.
Serena is an advanced code intelligence MCP server that provides semantic code understanding beyond simple text search. It builds a full semantic graph of your codebase — understanding function calls, type hierarchies, import chains, and symbol relationships. AI assistants can query this graph to find all callers of a function, trace data flow, identify dead code, and understand complex inheritance patterns. Serena works with TypeScript, Python, Java, Go, and Rust, providing IDE-level intelligence to terminal-based AI coding agents.
Manage Supabase projects, run SQL queries, and interact with auth, storage, and edge functions.
Run and manage local LLMs through Ollama, supporting model pulling, inference, and conversation management.
Query Stripe data including customers, payments, subscriptions, and invoices from AI assistants.
Access 250+ third-party integrations through Composio's tool platform directly in your AI assistant. Instead of building custom API integrations, use Composio's pre-built tools for GitHub, Slack, Notion, Google Workspace, Salesforce, and hundreds more services. The server handles OAuth authentication, rate limiting, and error handling — your AI assistant simply calls tools naturally. Manage user connections, execute actions on behalf of users, and build complex cross-service workflows all through the MCP interface.
Leverage Groq's ultra-fast LPU inference engine from your AI coding assistant for tasks requiring instant responses. Groq's custom hardware delivers inference speeds 10-18x faster than GPU-based alternatives, making it ideal for rapid code analysis, quick translations, and interactive reasoning tasks. This server provides access to Llama, Mixtral, and Gemma models running on Groq hardware with sub-second latency. Use it when speed matters more than maximum capability — rapid brainstorming, quick code explanations, or batch processing many small requests.
Manage Linear issues, projects, and cycles through AI assistants via the Model Context Protocol.
Bridge LangChain chains, agents, and tools with the Model Context Protocol for composable AI workflows.
Codebase Memory provides persistent memory for AI coding assistants across sessions. It stores architectural decisions, code conventions, dependency choices, and project-specific context that persists between conversations. When you start a new chat with your AI assistant, it automatically loads relevant project context — no need to re-explain your tech stack, naming conventions, or architectural patterns. The server uses local vector storage for efficient retrieval and supports team-shared memories for collaborative development.
Connect AI coding assistants to JetBrains IDEs (IntelliJ, WebStorm, PyCharm, GoLand) for advanced refactoring, navigation, and code analysis. The server leverages JetBrains' powerful code intelligence — type inference, refactoring tools, inspections, and project model — making them available to any MCP-compatible AI assistant. Your AI can trigger safe refactorings, run inspections, navigate complex type hierarchies, and leverage IDE-specific features that aren't available through simple file system access.
Access Figma designs in developer mode from your AI coding assistant. Inspect component properties, extract design tokens, read auto-layout configurations, and generate code from design specifications. The server focuses on the developer handoff workflow — understanding spacing, colors, typography, and component structure to help AI assistants generate accurate UI code. Different from general Figma access, this targets the specific needs of developers implementing designs.
Access Google Gemini models for text generation, multimodal understanding, and code generation through MCP.
Read, write, and analyze Google Sheets data from your AI coding assistant. Execute formulas, manage named ranges, create charts, format cells, and perform data analysis without opening a browser. The server supports batch operations for efficiency, understands sheet structure (headers, data types), and can help with complex formula writing. Ideal for developers who use spreadsheets for configuration, data validation, or lightweight databases alongside their code.
Deploy and manage Cloudflare Workers, KV namespaces, R2 buckets, and D1 databases via MCP.
Interact with Databricks workspaces from your AI coding assistant. Execute notebooks, run SQL queries on Unity Catalog tables, manage clusters, browse the workspace file system, and monitor job runs. The server provides comprehensive access to Databricks' lakehouse platform — query Delta tables, inspect data lineage, manage secrets, and submit batch jobs. Particularly valuable for data teams working across notebooks and SQL warehouses who want AI-assisted data engineering workflows.
Interact with AWS services including S3, Lambda, DynamoDB, and CloudFormation via MCP.
Manage GitHub Actions workflows, trigger runs, view logs, and manage secrets through MCP.
Connect LlamaIndex data frameworks with MCP for document indexing, querying, and RAG pipelines.
Manage Docker Compose environments from your AI assistant — start, stop, and inspect multi-container applications without switching to a terminal. The server provides tools for viewing service status, reading container logs, executing commands in containers, managing volumes, and modifying compose configurations. It understands compose file syntax and can suggest improvements, identify port conflicts, and help debug networking issues between services. Ideal for developers working with microservices architectures who want AI-assisted container orchestration.
Deploy and manage Cloudflare Workers AI workloads from your AI assistant. Run AI models on Cloudflare's global edge network, manage Workers AI bindings, configure Vectorize indexes, and deploy AI-powered Workers. The server provides access to Cloudflare's AI infrastructure — running inference on 50+ models at the edge with low latency. Different from the general Cloudflare MCP, this focuses specifically on AI workloads: model selection, Vectorize for RAG, AI Gateway for observability, and Workers AI bindings.
Manage Cloudflare Workers, KV, R2, D1, and DNS from AI assistants via MCP.
Manage Neon serverless Postgres databases, branches, and endpoints through the Model Context Protocol.
Integrate DeepSeek's powerful code and reasoning models into your MCP-compatible AI workflow. This server provides access to DeepSeek-V3 and DeepSeek-R1 models for specialized tasks like complex code generation, mathematical reasoning, and multi-step problem solving. Use it as a secondary reasoning engine alongside your primary AI assistant — delegate complex algorithmic problems to DeepSeek-R1's chain-of-thought, or use DeepSeek-Coder for language-specific code generation. Supports streaming, temperature control, and context length configuration.
Create, read, and edit Google Docs from your AI coding assistant. The server provides tools for document creation, content insertion, formatting, commenting, and collaboration management. Your AI can draft documents, insert structured content (tables, lists, headers), review and suggest edits, manage comments and suggestions, and export to various formats. Particularly useful for generating technical documentation, meeting notes, and project briefs directly from your development workflow.
Access foundation models on AWS Bedrock including Claude, Llama, and Titan for inference and fine-tuning.
Manage dbt (data build tool) projects from your AI coding assistant. Run dbt commands (build, test, seed), inspect model lineage graphs, query compiled SQL, check test results, and manage dbt Cloud jobs. The server understands dbt project structure — models, sources, macros, and tests — enabling AI-assisted data transformation development. Your assistant can help write model SQL, debug test failures, optimize materializations, and understand data lineage across your warehouse.
Connect AI assistants to PlanetScale for serverless MySQL database management, branching, and deploy requests.
Manage Vercel deployments, projects, domains, and environment variables via AI assistants.
Interact with Mistral AI models for text generation, embeddings, and function calling through MCP.
Query Google Analytics data, manage properties, and access reporting through the Model Context Protocol.
Interact with Prisma ORM for database schema management, migrations, and query building via MCP.
Connect your AI assistant to Langfuse for LLM observability and debugging. This MCP server enables querying traces, analyzing prompt performance, reviewing evaluation scores, and managing prompts directly from your coding environment. Debug production AI issues by searching traces by user, session, or error status. Compare prompt versions and their metrics side-by-side. Monitor cost trends and latency patterns without leaving your editor. Particularly useful for AI engineers who manage Langfuse-instrumented applications and want to investigate issues inline.
Query ClickHouse analytical databases from your AI assistant for real-time analytics and reporting. Execute complex analytical queries, explore table schemas, monitor query performance, and generate insights from large-scale event data. The server handles connection management, query formatting, and result pagination. Ideal for data engineers and analysts working with ClickHouse-powered analytics platforms who want AI assistance with query optimization, data exploration, and dashboard data generation.
Manage AWS Lambda functions from your AI coding assistant. Deploy function code, update configurations, invoke functions, view CloudWatch logs, manage layers, and configure triggers. The server provides comprehensive Lambda lifecycle management — from development through production monitoring. Your AI can help debug invocation errors by reading logs, optimize memory/timeout settings based on metrics, and manage deployment aliases for safe rollouts.
Manage Coolify self-hosted platform deployments from your AI coding assistant. Coolify is an open-source, self-hostable alternative to Heroku/Netlify/Vercel. This server lets you deploy applications, manage databases, configure domains, and monitor services all running on your own infrastructure. Tools include application deployment from Git, database provisioning (PostgreSQL, MySQL, Redis, MongoDB), SSL certificate management, and server resource monitoring.
Investigate and resolve Sentry error reports directly from your AI coding assistant. Search issues by error message, stack trace, or affected user. View detailed event data including breadcrumbs, context, and device info. Assign issues, update status, and add comments. The server provides deep integration with Sentry's issue tracking — your AI can correlate errors with recent code changes, identify patterns across related issues, and suggest fixes based on stack traces and surrounding code context.
Manage cloud infrastructure with Pulumi through AI assistants, supporting stacks, previews, and deployments.
Interact with GitLab CI/CD pipelines, jobs, and merge requests through the Model Context Protocol.
Trigger Zapier zaps, manage connections, and automate workflows across thousands of apps via MCP.
Orchestrate multi-agent workflows from your AI coding assistant using CrewAI. This server lets you define agent crews with roles, assign tasks, and execute complex multi-step workflows without leaving your editor. Create a research crew that gathers information, a coding crew that implements features, or an analysis crew that reviews code quality. The server manages agent lifecycle, inter-agent communication, and result aggregation. Particularly useful for complex tasks that benefit from multiple AI perspectives working in collaboration.
Read, write, and manipulate Excel files (.xlsx) from your AI coding assistant. Parse complex workbooks with multiple sheets, formulas, pivot tables, and charts. The server handles both local .xlsx files and Microsoft 365 online workbooks through the Graph API. Features include cell operations, formula evaluation, named range management, conditional formatting, and data validation. Essential for enterprise developers working with Excel-based data sources, reports, or configurations.
Create and manage ngrok tunnels from your AI coding assistant. Expose local services to the internet, configure custom domains, set up webhook verification, and manage tunnel authentication. The server makes it easy to share local development servers, test webhooks, and demo applications without deploying. Your AI can create tunnels for specific ports, configure HTTP/TCP endpoints, manage reserved domains, and inspect tunnel traffic for debugging.
Manage Docker containers, images, volumes, and networks through the Model Context Protocol.
Connect to LM Studio for local model inference, model management, and conversation handling via MCP.
Manage Dify AI application workflows, datasets, and model configurations through MCP.
Run any of Replicate's 100,000+ open-source AI models directly from your AI coding assistant. This server provides tools for discovering models, running predictions, managing deployments, and checking prediction status. Generate images with Flux, transcribe audio with Whisper, run video models, or execute any custom model — all through natural language commands to your AI assistant. The server handles model versioning, input/output schema discovery, and async prediction polling automatically.
Deploy and manage applications on Deno Deploy from your AI coding assistant. Push code, manage projects, configure KV databases, set environment variables, and monitor deployments. The server leverages Deno Deploy's instant global deployment model — code deploys in seconds to 35+ edge locations. Your AI can help manage Deno KV state, configure cron jobs, manage fresh/hono routes, and monitor edge function performance across regions.
Access Figma designs, components, and design tokens from AI coding assistants via MCP.
Leverage Perplexity AI for real-time web search, citation-backed answers, and research assistance via MCP.
Interact with the Vercel AI SDK for model routing, streaming responses, and tool-use patterns via MCP.
Manage Drizzle ORM schemas, run migrations, and execute type-safe queries through MCP.
Control VS Code programmatically from AI coding agents running outside the editor. This server exposes VS Code's extension API through MCP, allowing terminal-based agents like Claude Code to open files, navigate to symbols, run tasks, manage extensions, and interact with the editor state. It bridges the gap between terminal AI agents and IDE capabilities — your AI can trigger VS Code commands, read editor state, manage workspace settings, and leverage installed extensions without you manually switching contexts.
Manage Airbyte data integration pipelines from your AI assistant. Configure sources and destinations, trigger syncs, monitor sync status, and troubleshoot connection issues. The server provides tools for the full Airbyte workflow — discovering available connectors, configuring connection parameters, managing sync schedules, and inspecting sync logs for failures. Ideal for data engineers managing ELT pipelines who want AI assistance with connector configuration and pipeline troubleshooting.
Manage your Tailscale mesh VPN network from your AI coding assistant. View connected devices, manage ACLs, configure exit nodes, check device status, and manage DNS settings. The server provides visibility into your Tailscale network — see which machines are online, troubleshoot connectivity issues, manage network access policies, and configure routes. Useful for developers managing distributed infrastructure where Tailscale provides secure networking between services.
Manage Qdrant vector database collections, perform similarity searches, and handle point operations via MCP.
Manage secrets, encryption keys, and access policies in HashiCorp Vault through the Model Context Protocol.
Manage Vercel deployments, domains, environment variables, and project settings from your AI coding assistant. Trigger deployments, inspect build logs, roll back to previous versions, manage preview deployments, and configure serverless function settings. The server also provides tools for DNS management, SSL certificate status, and edge function configuration. Different from the basic Vercel MCP — this focuses specifically on deployment operations and CI/CD workflows rather than general Vercel platform management.
Run GPU workloads on Modal's serverless platform from your AI coding assistant. Define and deploy functions, manage secrets, monitor running jobs, and access GPU resources (A100, H100) without infrastructure management. The server enables AI-assisted GPU computing workflows — your assistant can deploy model inference endpoints, run batch processing jobs, manage container environments, and monitor compute costs. Particularly useful for ML engineers who want to quickly iterate on GPU-intensive tasks.
Query Sentry for error tracking, performance data, and issue management via AI assistants.
Deploy sites, manage builds, and configure Netlify services through AI assistants via the Model Context Protocol.
Manage Algolia search indices, configure relevance rules, and execute search queries via MCP.
Trigger and manage n8n automation workflows, inspect executions, and configure connections via MCP.
Access Together AI's inference platform for running open-source LLMs with low latency and competitive pricing. This MCP server provides tools for text generation, chat completions, embeddings, and image generation using models like Llama, Mixtral, and SDXL hosted on Together's optimized infrastructure. Use it to add a secondary model to your AI workflow — generate embeddings for RAG, run alternative model opinions, or access specialized models not available through your primary assistant's provider.
Connect to MotherDuck's serverless DuckDB cloud platform from your AI assistant. Run SQL queries against cloud-hosted DuckDB databases, combine local and remote data seamlessly, and leverage MotherDuck's collaborative features. The server provides tools for database management, table operations, data sharing, and hybrid local/cloud queries. MotherDuck extends DuckDB's capabilities to the cloud with persistent storage, sharing, and collaboration — this server makes it all accessible through natural language.
Interact with Miro whiteboards from your AI coding assistant. Create boards, add shapes, sticky notes, connectors, and frames. Read board content for analysis, extract structured data from diagrams, and generate boards from descriptions. The server enables AI-assisted visual collaboration — your assistant can create architecture diagrams, user flow maps, sprint boards, and mind maps programmatically. Useful for technical planning, retrospectives, and documentation that benefits from visual representation.
Manage Amazon ECS (Elastic Container Service) clusters, services, and tasks from your AI assistant. View service status, update task definitions, trigger deployments, read container logs, and manage scaling policies. The server provides operational visibility into containerized workloads — your AI can help diagnose unhealthy tasks, optimize resource allocation, manage rolling deployments, and troubleshoot service connectivity issues without navigating the AWS Console.
Interact with MongoDB databases for document queries, aggregations, and collection management.
Access Cohere models for text generation, semantic search, reranking, and classification via MCP.
Access and manage Dropbox files, folders, and sharing settings through AI assistants via MCP.
Interact with ChromaDB for embedding storage, similarity search, and collection management through MCP.
Interact with Strapi headless CMS for content management, media handling, and API configuration via MCP.
Manage Segment sources, destinations, and tracking plans for customer data infrastructure via MCP.
Scan projects for vulnerabilities, manage security policies, and remediate issues through Snyk via MCP.
Query the NPM registry for package information, version history, dependency trees, and download statistics directly from your AI assistant. Search for packages by keyword, compare alternatives, check for security vulnerabilities, analyze bundle sizes, and discover trending packages. The server also provides tools for managing your own published packages — update metadata, manage access, and view download analytics. Particularly useful when making technology decisions or auditing project dependencies.
Manage Linear projects, cycles, and roadmaps from your AI coding assistant. Create and update issues with full context, manage project milestones, track cycle progress, and organize work across teams. The server provides deeper project management capabilities than basic issue tracking — plan sprints, review team velocity, analyze blockers, and generate status reports. Ideal for engineering managers and tech leads who want AI assistance with project planning and execution tracking.
Query Cube.dev's semantic layer from your AI coding assistant for consistent, governed analytics. Execute Cube queries using the semantic model, explore available measures and dimensions, inspect data model definitions, and generate SQL from semantic queries. The server brings Cube's 'single source of truth' analytics approach into AI workflows — your assistant uses your defined metrics and dimensions rather than writing raw SQL, ensuring consistent calculations across all queries.
Deploy and manage Google Cloud Run services from your AI coding assistant. Deploy container images, manage revisions, configure traffic splitting, set environment variables, and view logs. The server handles the full Cloud Run lifecycle — from initial deployment through production traffic management. Your AI can help with canary deployments (split traffic between revisions), debug cold start issues, optimize concurrency settings, and manage custom domains.
Manage Trigger.dev background jobs from your AI coding assistant. Monitor job runs, trigger tasks manually, inspect execution logs, manage schedules, and debug failed runs. The server provides operational visibility into your background job infrastructure — see which tasks are running, queued, or failed, and take action. Your AI can help diagnose job failures from execution logs, retry failed tasks, and optimize concurrency configurations for better throughput.
Interact with Turso edge databases powered by libSQL for low-latency data access worldwide.
Manage Contentful spaces, content types, entries, and assets through the Model Context Protocol.
Create and edit Google Slides presentations from your AI assistant. Build slide decks programmatically with text, images, shapes, and layouts. The server provides tools for slide creation, content placement, theme application, speaker notes, and export. Your AI can generate entire presentations from outlines, create consistent branded slides, and update existing decks with new data. Useful for automating report generation, pitch deck creation, and meeting preparation.
Deploy and manage Azure Functions from your AI coding assistant. Create function apps, deploy code, configure triggers and bindings, view execution logs, and manage application settings. The server supports all Azure Functions triggers (HTTP, Timer, Blob, Queue, Event Hub) and provides tools for monitoring executions, managing slots for deployment, and configuring Durable Functions workflows.
Manage Atlassian Jira issues, sprints, and boards through AI assistants using MCP.
Manage Meilisearch indexes, configure search settings, and execute lightning-fast search queries via MCP.
Manage Auth0 tenants, applications, users, and authentication flows via the Model Context Protocol.
Access SonarCloud code quality analysis from your AI coding assistant. Query code smells, bugs, vulnerabilities, and security hotspots for your projects. Review quality gate status, track technical debt, and get detailed explanations of issues with remediation guidance. The server enables AI-assisted code quality workflows — your assistant can check if recent changes introduced issues, prioritize technical debt reduction, and suggest fixes aligned with SonarCloud's rules. Supports both SonarCloud and self-hosted SonarQube instances.
Manage Docker environments through Portainer's API from your AI coding assistant. Control containers, images, networks, and volumes across multiple Docker hosts and Kubernetes clusters. The server provides tools for container lifecycle management, image pulling and building, stack deployment, and resource monitoring. Portainer's multi-environment management makes this server particularly valuable for teams managing containers across development, staging, and production environments.
Query and manage ClickHouse analytical databases for real-time analytics and large-scale data processing.
Manage Google Cloud Storage buckets, objects, and access controls through the Model Context Protocol.
Query Mixpanel analytics events, funnels, retention, and user profiles through AI assistants via MCP.
Manage Upstash Redis, Kafka, and QStash services for serverless data infrastructure via MCP.
Search YouTube videos, manage playlists, and access video metadata through the Model Context Protocol.
Manage Expo React Native projects, builds, updates, and app store submissions through MCP.
Deploy and manage Netlify sites from your AI coding assistant. Trigger builds, inspect deploy logs, manage deploy contexts (production, branch deploys, deploy previews), configure build plugins, and manage form submissions. The server provides granular control over Netlify's deployment pipeline including split testing, deploy locks, and rollbacks. Useful for JAMstack developers wanting AI-assisted deployment workflows without switching to the Netlify dashboard.
Serve and interact with large language models through vLLM's high-throughput inference engine via MCP.
Send beautiful transactional emails using Resend with React Email templates and delivery analytics.
Manage Bitbucket repositories, pull requests, and CI/CD pipelines from your AI coding assistant. Create and review PRs, trigger pipeline runs, inspect build logs, manage branch permissions, and handle code reviews — all without leaving your editor. The server supports Bitbucket Cloud and Data Center, providing tools for repository management, pipeline configuration, deployment environments, and team collaboration. Ideal for teams using Atlassian's ecosystem who want AI-assisted DevOps workflows.
Manage Zendesk support tickets, views, and knowledge base from your AI assistant. Create and update tickets, search across conversations, manage macros, query the help center, and generate support reports. The server provides full ticket lifecycle management — from creation through resolution — with AI assistance for categorization, priority assignment, and response drafting. Ideal for support engineering teams and developers maintaining customer-facing products.
Access and manage Microsoft OneDrive files, folders, and sharing through the Model Context Protocol.
Analyze code quality, review security hotspots, and manage quality gates through SonarQube via MCP.
Manage Appwrite backend services including databases, storage, functions, and authentication via MCP.
Query and manage Sanity.io datasets, documents, and assets through AI assistants via MCP.
Query MySQL databases, inspect schemas, and manage data through AI assistants via MCP.
Query Grafana dashboards, alerts, and metrics through AI assistants via the Model Context Protocol.
Query Prometheus metrics, manage alerts, and explore time-series data through the Model Context Protocol.
Manage Clerk authentication users, organizations, and session management through MCP.
Monitor and manage Fivetran connectors and data pipelines from your AI coding assistant. Check connector status, trigger manual syncs, view sync history, manage connector configurations, and troubleshoot sync failures. The server provides visibility into your data pipeline health without navigating the Fivetran dashboard. Your AI can identify stale connectors, diagnose sync failures from error logs, and help reconfigure connectors when source schemas change.
Plan, apply, and manage Terraform infrastructure configurations through AI assistants.
Manage DigitalOcean droplets, databases, Kubernetes clusters, and app platform deployments via MCP.
Manage Azure Blob Storage containers, blobs, and access policies through AI assistants via MCP.
Use PostgreSQL with pgvector extension for vector similarity search and embedding storage via MCP.
Access Amplitude analytics for event data, user behavior analysis, and cohort management via MCP.
Interact with Convex backend platform for reactive queries, mutations, and real-time data sync via MCP.
Search and explore Python packages on PyPI from your AI coding assistant. Find packages by functionality, inspect metadata, check compatibility with Python versions, view dependency requirements, and compare alternatives. The server provides tools for discovering the right Python library for your needs, checking license compatibility, and understanding package maintenance status (last update, open issues, download trends). Essential for Python developers making informed dependency decisions with AI assistance.
Manage Azure resources and services including VMs, storage, and functions through MCP.
Manage WordPress posts, pages, media, and settings through AI assistants via the Model Context Protocol.
AI-optimized web search API for retrieving relevant and accurate search results through MCP.
Manage Argo CD applications, sync statuses, and GitOps deployments through AI assistants.
Manage service mesh, service discovery, and configuration in HashiCorp Consul via MCP.
Manage Kafka topics, consumer groups, and produce/consume messages through the Model Context Protocol.
Manage Linear projects, milestones, roadmaps, and team workflows through the Model Context Protocol.
Manage Cloudflare R2 object storage buckets and objects with S3-compatible operations via MCP.
Manage Webflow sites, CMS collections, and e-commerce products through the Model Context Protocol.
Query code coverage data from Codecov to understand test coverage gaps and improve testing strategy with AI assistance. The server provides tools for viewing coverage reports, identifying uncovered lines, comparing coverage between branches, and tracking coverage trends over time. Your AI assistant can identify which files need more tests, suggest test cases for uncovered code paths, and ensure PRs meet coverage thresholds before merge. Integrates with GitHub, GitLab, and Bitbucket repositories.
Access Intercom conversations, contacts, and help center content from your AI coding assistant. Search and reply to customer conversations, manage contact attributes, query help articles, and view conversation analytics. The server enables AI-assisted customer support workflows — your assistant can help draft replies, find relevant help articles for customer issues, identify conversation patterns, and generate support metrics. Useful for developers building support tooling or managing customer-facing applications.
Connect to Redis for key-value operations, pub/sub, and cache management via MCP.
Manage Shopify products, orders, and store data through AI assistants via MCP.
Manage GCP resources, Cloud Run services, and Pub/Sub topics through the Model Context Protocol.
Query New Relic observability data, manage dashboards, and investigate incidents via MCP.
Interact with Typesense search engine for fast, typo-tolerant search with faceting and filtering.
Deploy and manage Supabase Edge Functions, invoke them remotely, and monitor execution logs.
Control Spotify playback, search music, manage playlists, and access listening data through MCP.
Interact with Turbopack build system for bundle analysis, caching insights, and build optimization.
Submit and monitor Apache Spark jobs from your AI coding assistant. The server connects to Spark clusters (standalone, YARN, Kubernetes, Databricks) and provides tools for submitting PySpark/Scala jobs, monitoring execution progress, inspecting stage details, reading driver logs, and managing cluster resources. Your AI can help optimize Spark configurations, debug failed stages, and iterate on data processing pipelines without you manually navigating Spark UIs or SSH sessions.
Query and manage Metabase dashboards, questions, and collections from your AI coding assistant. Execute saved questions, create new queries, browse collections, inspect dashboard configurations, and manage permissions. The server enables AI-assisted analytics — your assistant can help write Metabase native queries, troubleshoot visualization issues, and generate insights from existing dashboard data. Supports both Metabase Cloud and self-hosted instances.
Create and manage Canva designs from your AI coding assistant. Generate social media graphics, presentations, and marketing materials using Canva's template library and design engine. The server provides tools for template selection, text and image placement, brand kit application, and export. Useful for developers building content automation pipelines or marketing teams wanting AI-assisted design creation without opening the Canva editor.
Manage Kubernetes clusters, pods, deployments, and services via AI assistants through MCP.
Access Fireworks AI inference platform for fast model serving, fine-tuning, and function calling.
Manage Box cloud content, collaborate on files, and configure security policies through MCP.
Query Tinybird real-time analytics APIs, manage data sources, and create endpoints via MCP.
Manage Cloudflare D1 SQLite databases at the edge with SQL queries and schema management via MCP.
Interact with PocketBase backend for collection management, record operations, and real-time subscriptions.
Neural search engine for finding similar content and semantically related pages through MCP.
Manage Temporal workflows, activities, and task queues for durable execution patterns via MCP.
Search, read, and create Confluence pages and spaces via AI assistants through MCP.
Query and manage Apache Cassandra clusters, keyspaces, and tables through AI assistants via MCP.
Manage Ghost CMS publications, posts, members, and newsletters through the Model Context Protocol.
Advanced Notion database operations including complex filters, rollups, and relation management via MCP.
Read tweets, post updates, and manage DMs on Twitter/X through the Model Context Protocol.
AI-powered web search and research through Perplexity's API via the Model Context Protocol.
Manage Helm charts, releases, and repositories for Kubernetes package management via MCP.
Query Plausible Analytics for privacy-friendly website metrics, page views, and traffic sources via MCP.
Create and manage Make automation scenarios, modules, and data stores through the Model Context Protocol.
Query Axiom observability data, manage datasets, and create monitors through the Model Context Protocol.
Deploy and manage GitHub Pages sites, configure custom domains, and monitor build status via MCP.
Query and manage OpenTelemetry traces, metrics, and logs through the Model Context Protocol.
Build and manage Evidence data reports from your AI coding assistant. Evidence is a code-based BI tool that creates polished data reports from SQL and Markdown. This server lets your AI write Evidence pages, execute queries against connected databases, preview report components, and deploy updates. Ideal for data teams producing regular reports who want AI assistance with SQL analysis, chart configuration, and narrative generation alongside their data.
Manage Hetzner Cloud servers, networks, load balancers, and firewalls through the Model Context Protocol.
Interact with MinIO object storage for S3-compatible bucket and object management via MCP.
Manage Supabase authentication users, providers, and security policies through MCP.
Browse Reddit posts, manage subreddits, and interact with comments through the Model Context Protocol.
Manage CockroachDB distributed SQL databases, run queries, and monitor cluster health via MCP.
Interact with Directus headless CMS for data management, file handling, and access control via MCP.
Manage Apache Flink streaming applications from your AI assistant. Submit Flink SQL queries, deploy JAR jobs, monitor running applications, inspect checkpoints, and manage savepoints. The server interfaces with Flink's REST API to provide full lifecycle management of stream processing pipelines. Ideal for data engineers building real-time analytics, event processing, and CDC pipelines who want AI assistance with Flink SQL optimization and job debugging.
Search and manage Elasticsearch indices, documents, and queries from AI assistants.
Send messages, create channels, and manage Teams meetings through AI assistants via the Model Context Protocol.
Interact with Vespa search platform for document management, queries, and application configuration.
Manage Twilio voice calls, IVR flows, and phone number configuration through MCP.
Manage Retool apps, workflows, and database queries through AI assistants via MCP.
Build, test, and publish Raycast extensions through AI assistants via the Model Context Protocol.
Access Freshdesk helpdesk features from your AI coding assistant. Manage tickets, contacts, and solutions (knowledge base) through the MCP interface. The server supports ticket operations (create, reply, resolve), agent assignment, priority management, and canned response usage. Also provides access to Freshdesk's reporting API for generating support metrics. Useful for teams using Freshdesk who want AI-assisted ticket management and customer communication.
Query Datadog metrics, monitors, dashboards, and logs from AI assistants via MCP.
Read and write notes, search vault contents, and traverse links in Obsidian through MCP.
Connect to TimescaleDB for time-series data management, continuous aggregates, and hypertable operations.
Manage Payload CMS collections, documents, and media through AI assistants via the Model Context Protocol.
Manage RabbitMQ queues, exchanges, bindings, and monitor message broker health via MCP.
Manage Instagram business accounts, posts, stories, and insights through AI assistants via MCP.
Manage Cal.com scheduling, event types, bookings, and availability through the Model Context Protocol.
Manage Cloudflare Workers KV key-value store namespaces and entries via the Model Context Protocol.
Manage GitHub Discussions for community engagement, Q&A, and knowledge sharing via MCP.
Query analytics events, feature flags, and experiments in PostHog through the Model Context Protocol.
Access Umami self-hosted analytics for privacy-focused website tracking and reporting via MCP.
Query and manage Fauna distributed document-relational database through the Model Context Protocol.
Access Loom video library and transcripts from your AI coding assistant. Search videos by title or content, read full transcripts, extract key moments, and manage video sharing settings. The server enables AI-assisted video content management — your assistant can summarize video content, find specific moments by topic, generate written documentation from video walkthroughs, and help organize team knowledge captured in Loom recordings.
Read and manage Google Calendar events, schedules, and availability through MCP.
Interact with Firebase services including Firestore, Auth, and Cloud Functions via MCP.
Access OpenAI APIs for text generation, embeddings, and image creation through AI assistants via MCP.
Provision and manage Linode instances, volumes, and networking resources through AI assistants.
Send emails via SMTP, manage email templates, and handle email queues through the Model Context Protocol.
Query Heap analytics for automatic event capture, user behavior analysis, and session insights via MCP.
Interact with Twitch API for stream management, chat operations, and channel analytics via MCP.
Manage Better Stack uptime monitors, incidents, and log queries through AI assistants via MCP.
Manage Storyblok spaces, stories, components, and assets through the Model Context Protocol.
Manage Liveblocks real-time collaboration rooms, presence, and storage through MCP.
Read, search, and compose Gmail messages through AI assistants via the Model Context Protocol.
Access Anthropic Claude APIs for text generation and analysis through the Model Context Protocol.
Upload, download, and list objects in AWS S3 buckets through AI assistants via MCP.
Send transactional emails, manage mailing lists, and track email analytics through Mailgun via MCP.
Interact with Coda documents, tables, and automations for collaborative document management via MCP.
Access Hotjar heatmaps, session recordings, and user feedback data through the Model Context Protocol.
Interact with Xata serverless database for record management, search, and file attachments via MCP.
Create and manage presentations in Pitch (the modern presentation tool for teams) from your AI assistant. Build slide decks using Pitch's design-forward templates, manage team presentations, and collaborate on content. The server supports slide creation, content editing, template application, commenting, and export. Useful for teams using Pitch as their primary presentation tool who want AI-assisted deck creation and content management.
Interact with Prismic CMS repositories, documents, and custom types through AI assistants via MCP.
Read, create, and update Airtable bases, tables, and records through AI assistants.
Query and manage Salesforce CRM data including accounts, contacts, and opportunities via MCP.
Manage Pinecone vector database indexes, upsert vectors, and perform similarity searches via MCP.
Run SQL queries on Google BigQuery datasets and manage tables through the Model Context Protocol.
Interact with KeystoneJS headless CMS for list management, item operations, and schema exploration.
Schedule and manage Zoom meetings, access recordings, and manage participants through MCP.
Interact with QuestDB for high-performance time-series data ingestion and SQL-based analytics.
Query FullStory digital experience data including session replays, error tracking, and user journeys.
Generate and manage API SDKs with Stainless, configure endpoints, and validate OpenAPI specs via MCP.
Manage Resend audience lists, contacts, and broadcast campaigns through the Model Context Protocol.
Integrate AI assistants with Raycast for launching commands, searching, and clipboard management.
Manage PagerDuty incidents, schedules, and escalation policies through AI assistants.
Read and send Discord messages, manage channels, and interact with servers via MCP.
Manage tasks, projects, and labels in Todoist through AI assistants via the Model Context Protocol.
Manage Contentlayer content schemas, validate documents, and query content collections via MCP.
Query and manage Snowflake data warehouse through AI assistants via the Model Context Protocol.
Send transactional and broadcast emails through Postmark with delivery tracking and template management.
Query, scan, and put items in AWS DynamoDB tables through AI assistants via MCP.
Manage Backblaze B2 cloud storage buckets, files, and lifecycle rules through the Model Context Protocol.
Access Microsoft Outlook emails, calendar, and contacts via the Model Context Protocol.
Send SMS, make calls, and manage Twilio communications resources via AI assistants.
Manage HubSpot CRM contacts, deals, and marketing data through AI assistants via MCP.
Interact with Weaviate vector database for semantic search and object management via MCP.
Manage tasks, docs, goals, and sprints in ClickUp through the Model Context Protocol.
Manage OVHcloud infrastructure including dedicated servers, public cloud instances, and domain services.
Manage Loops email marketing campaigns, contacts, and transactional emails through MCP.
Query graph databases with Cypher and manage nodes and relationships through MCP.
Manage CircleCI pipelines, view build results, and trigger workflows through MCP.
Manage Asana tasks, projects, and workspaces through AI assistants via MCP.
Trigger builds, view job status, and manage Jenkins pipelines through the Model Context Protocol.
Deploy projects, manage services, and configure environments on Railway through the Model Context Protocol.
Send push notifications to iOS, Android, and desktop devices through Pushover via MCP.
Send emails, manage templates, and query email analytics via SendGrid through MCP.
Deploy and manage Render services, databases, and cron jobs through AI assistants via MCP.
Read and update boards, items, and columns in Monday.com through AI assistants via MCP.
Manage Trello boards, lists, and cards from AI assistants through the Model Context Protocol.
Send and receive Telegram messages and manage bots through AI assistants via MCP.
Deploy and manage Fly.io applications, machines, and volumes through the Model Context Protocol.
Manage Wasabi hot cloud storage with S3-compatible bucket and object operations via MCP.
Send messages and manage WhatsApp Business conversations through AI assistants via MCP.
Manage Basecamp projects, messages, and to-dos through the Model Context Protocol.
