GreptimeDB
Provides a unified, cloud-native observability database for metrics, logs, and traces, supporting SQL, PromQL, and streaming analytics.
Browse 6,627+ Model Context Protocol servers for Claude, Cursor, and VS Code. Find the perfect tools for your AI workflow.
Provides a unified, cloud-native observability database for metrics, logs, and traces, supporting SQL, PromQL, and streaming analytics.
Empower ChatGPT with long-term memory by creating custom knowledge bases from uploaded documents and retrieving relevant answers using the OpenAI and Pinecone vector database stac…
Unify access to diverse data sources, from files and databases to popular applications, by querying them with SQL and integrating with large language models.
Provides a universal database gateway implementing the Model Context Protocol (MCP) server interface.
Auto-loads databases in VS Code and provides affordances to aid development and debugging.
Provides all-in-one infrastructure for search, recommendations, Retrieval-Augmented Generation (RAG), and analytics via API.
Automate the generation, deployment, and hosting of full-stack web applications, mini-programs, databases, and backend services using AI IDEs.
Integrates Google Analytics APIs with a local Model Context Protocol (MCP) server to provide LLM-consumable tools for analytics data.
Provides semantic memory and persistent storage capabilities for Claude using ChromaDB and sentence transformers.
Connects to MongoDB databases and MongoDB Atlas clusters via the Model Context Protocol.
Enables secure interaction with MySQL databases through a Model Context Protocol (MCP) server.
Enables natural language interaction with Neo4j databases and Aura accounts using the Model Context Protocol.
Connects language models to a Qdrant vector database for storing and retrieving information.
Enables end-to-end Supabase database management via a chat interface, including query execution and management API support.
Connects AI agents to databases, providing team's proven query patterns for collaborative learning and faster development.
Monitors PostgreSQL databases, finds root causes of issues, and suggests fixes and improvements.
Provides an MCP server to interact with ClickHouse databases.
Enables natural language interaction with the Neon Management API and databases through the Model Context Protocol.
Exposes PostgreSQL databases to AI agents via the Model Context Protocol, offering rich schema discovery and query capabilities.
Provides a multilingual, database-driven, open-source FAQ web application supporting PHP 8.3+ and various databases.
Enables AI assistants to safely query any PostgreSQL database using natural language, returning structured SQL results.
Facilitates access to various Turkish legal databases, providing a standardized Model Context Protocol (MCP) interface.
Connects large language models to relational databases, enabling exploration, query assistance, and data analysis.
Provides a Model Context Protocol (MCP) server implementation with database capabilities powered by Chroma for LLM applications.
MCP (Model Context Protocol) servers are tools that connect AI assistants like Claude, Cursor, and other AI coding tools to external data sources, APIs, and services. They enable AI models to access real-time information, execute code, interact with databases, and perform actions beyond their base capabilities. Check out our curated collection of the best MCP servers for Cursor →
MCP servers act as intermediaries between AI assistants and external systems. When you ask Claude or Cursor to perform a task requiring external data, the MCP server handles the request, fetches the data, and returns it in a format the AI can understand and use.
When selecting an MCP server, consider:
For detailed setup guides, see our Complete MCP Server Setup Guide →
Everything you need to know about installing, using, and troubleshooting Model Context Protocol.
To install MCP servers in Cursor: 1) Open Cursor settings (Cmd+,), 2) Navigate to MCP Servers section, 3) Click 'Add Server', 4) Enter server configuration (name and command), 5) Restart Cursor. Check out our curated collection of the best MCP servers for Cursor with detailed setup guides.
MCP servers are protocol-level integrations that work across multiple AI assistants (Claude, Cursor, etc.), while VS Code extensions are editor-specific. MCP servers provide context to AI models, whereas extensions add IDE functionality. MCP is more portable and AI-focused.
Most MCP servers listed are open-source and free. Some enterprise connectors (like Salesforce or Jira) may require paid API access to the underlying service, but the MCP server code itself is usually free.
Yes! The Model Context Protocol is open standard. You can build servers in Python or TypeScript/Node.js to expose your own internal APIs or databases to Claude and Cursor.
An MCP server is a lightweight program that exposes specific capabilities (data access, tool execution, prompts) to AI assistants through a standardized protocol. MCP servers allow Claude and other AI models to securely interact with external systems like databases, APIs, file systems, and web services while maintaining security boundaries.
MCP servers connect to Claude Desktop or other MCP-compatible clients through a standardized JSON-RPC protocol. When you configure an MCP server in Claude Desktop, Claude can access its resources (data/content), use its tools (functions to execute), and leverage its prompts (templated interactions). The protocol ensures secure, controlled access to external capabilities.
Essential MCP servers for beginners include: Filesystem (local file access), SQLite/PostgreSQL (database queries), GitHub (repository access), Brave Search (web search), and Memory (persistent context). These cover common use cases and have excellent documentation. Start with 2-3 servers and expand based on your needs.
Most MCP servers install via npm (npx) or Python (uvx/pip). Configure them in Claude Desktop's config file (claude_desktop_config.json) by specifying the command, arguments, and any required environment variables like API keys. Our directory links to each server's documentation with specific installation instructions.
MCP servers run locally on your machine with explicit permissions you configure. They can only access resources you authorize, and Claude cannot bypass these boundaries. However, always review server code, use official/verified servers when possible, limit permissions to what's necessary, and be cautious with servers that request broad access.
Resources are data sources Claude can read (files, database results, API responses). Tools are functions Claude can execute (run queries, send messages, create files). Prompts are pre-defined templates for common interactions. Most MCP servers expose one or more of these capability types.
MCP is supported by Claude Desktop (official), Cursor IDE, Continue (VS Code extension), and various community implementations. The protocol is open, so support is expanding to more AI development tools. Check our compatibility filters to find servers tested with your preferred client.
Our MCP servers directory is updated weekly with new servers, documentation improvements, and compatibility updates. We monitor GitHub releases, community contributions, and Anthropic announcements to ensure our listings reflect the latest MCP ecosystem developments.