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.
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.
Interact with GitHub repositories, issues, pull requests, and actions through the Model Context Protocol.
Browser automation with Playwright for cross-browser testing, scraping, and interaction via MCP.
Manage GitHub Actions workflows, trigger runs, view logs, and manage secrets through MCP.
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.
Interact with GitLab CI/CD pipelines, jobs, and merge requests through the Model Context Protocol.
Manage Docker containers, images, volumes, and networks through the Model Context Protocol.
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.
Scan projects for vulnerabilities, manage security policies, and remediate issues through Snyk via MCP.
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.
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.
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.
Analyze code quality, review security hotspots, and manage quality gates through SonarQube via MCP.
Query Prometheus metrics, manage alerts, and explore time-series data through the Model Context Protocol.
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.
Query New Relic observability data, manage dashboards, and investigate incidents via MCP.
Interact with Turbopack build system for bundle analysis, caching insights, and build optimization.
Manage Temporal workflows, activities, and task queues for durable execution patterns via MCP.
Manage Helm charts, releases, and repositories for Kubernetes package management via MCP.
Query and manage OpenTelemetry traces, metrics, and logs through the Model Context Protocol.
Manage RabbitMQ queues, exchanges, bindings, and monitor message broker health via MCP.
Manage Better Stack uptime monitors, incidents, and log queries through AI assistants via MCP.
Generate and manage API SDKs with Stainless, configure endpoints, and validate OpenAPI specs via MCP.
Manage CircleCI pipelines, view build results, and trigger workflows through MCP.
Trigger builds, view job status, and manage Jenkins pipelines through the Model Context Protocol.
