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.
Query Google Analytics data, manage properties, and access reporting through the Model Context Protocol.
Query Sentry for error tracking, performance data, and issue management via AI assistants.
Manage Segment sources, destinations, and tracking plans for customer data infrastructure via MCP.
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.
Query Mixpanel analytics events, funnels, retention, and user profiles through AI assistants via MCP.
Query Grafana dashboards, alerts, and metrics through AI assistants via the Model Context Protocol.
Access Amplitude analytics for event data, user behavior analysis, and cohort management via MCP.
AI-optimized web search API for retrieving relevant and accurate search results through MCP.
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.
Query Tinybird real-time analytics APIs, manage data sources, and create endpoints via MCP.
Neural search engine for finding similar content and semantically related pages through MCP.
AI-powered web search and research through Perplexity's API via the Model Context Protocol.
Query Plausible Analytics for privacy-friendly website metrics, page views, and traffic sources via MCP.
Query Axiom observability data, manage datasets, and create monitors 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.
Query Datadog metrics, monitors, dashboards, and logs from AI assistants 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 Heap analytics for automatic event capture, user behavior analysis, and session insights via MCP.
Access Hotjar heatmaps, session recordings, and user feedback data through the Model Context Protocol.
Query FullStory digital experience data including session replays, error tracking, and user journeys.
Manage PagerDuty incidents, schedules, and escalation policies through AI assistants.
