AutoGen
Empowers AI assistants to search and retrieve comprehensive Microsoft AutoGen documentation across various versions.
Browse 6,627+ Model Context Protocol servers for Claude, Cursor, and VS Code. Find the perfect tools for your AI workflow.
Empowers AI assistants to search and retrieve comprehensive Microsoft AutoGen documentation across various versions.
Manages Apache Beam data pipelines across different runners using a standardized Model Context Protocol (MCP) API.
Provides real-time cross-chain bridge metrics for analyzing liquidity, transaction flows, and performance across blockchain networks.
Integrates AI tools and agents with Cashfree APIs (Payment Gateway, Payouts, and SecureID) using the Model Context Protocol (MCP).
Empower hands-free control of your Claude Code coding environment on macOS using voice commands.
Searches for open source issues related to climate change and sustainability using the ClimateTriage API.
Manages and stores code snippets across different programming languages using a standardized server interface.
Provides a unified Model Context Protocol server to access and combine responses from multiple Large Language Model APIs, including ChatGPT, Claude, and DeepSeek.
Analyzes order book depth and imbalance across major crypto exchanges to provide real-time market structure insights.
Equips AI assistants with structured external memory, eliminating context loss and enabling an experienced teammate role in software development.
Investigates data across diverse sources by connecting to both local and external Micro-Capability Providers (MCPs).
Provides a Model Context Protocol (MCP) server for building and cleaning Delphi, Free Pascal, and Lazarus projects.
Captures and organizes development context, code changes, and user interactions for persistent memory across projects.
Manages project context persistently across coding sessions for developers.
Automates DevOps operations and facilitates application deployment across diverse cloud providers and Linux servers.
Manages personal dotfiles configuration for a consistent development environment across different machines.
Performs semantic code search across local projects and Git repositories using AI embeddings with support for OpenAI and Ollama.
Provides comprehensive Open Source Intelligence (OSINT) capabilities for EVE Online characters, corporations, and alliances by integrating data from ESI, EveWho, and zKillboard AP…
Enables creation of solutions based on open web services through the Eyevinn Open Source Cloud API.
Provides a comprehensive Model Context Protocol (MCP) server for seamless integration with the Freedcamp API.
Enables AI assistants to access and manage accounting data through the freee Accounting API.
Automates freelance gig search, proposal generation, code review, and rate negotiation using AI.
Retrieves and processes economic data from the free IMF data API.
Enables large language models to query real-time weather forecasts for cities and regions across China.
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.