MSFConsole
Provides AI assistants with comprehensive, structured access to the full capabilities of the Metasploit Framework for security analysis and penetration testing.
Browse 6,627+ Model Context Protocol servers for Claude, Cursor, and VS Code. Find the perfect tools for your AI workflow.
Provides AI assistants with comprehensive, structured access to the full capabilities of the Metasploit Framework for security analysis and penetration testing.
Provides fast, structured access to Microsoft Flight Simulator SDK documentation via natural language and structured queries.
Enables AI applications to interact with Microsoft 365 and Azure AD services through a standardized Model Context Protocol (MCP) server for Microsoft Graph v2 beta API.
Retrieves user profiles from Microsoft Graph using the Model Context Protocol (MCP).
Provides access to Moldova's public procurement data through the MTender API, adhering to the Open Contracting Data Standard (OCDS).
Manages Magic: The Gathering decks and retrieves card information using the Scryfall API, enabling interaction through language models.
Extends Claude's capabilities by providing a suite of Model Context Protocol (MCP) servers and specialized AI agents.
Provides fast, structured search capabilities for local email archives via the `mu` email indexer.
Proxies requests to multiple MCP (Message Component Protocol) servers.
Provides a standardized API for simultaneous interaction with multiple Kubernetes clusters using various kubeconfig files.
Demonstrates the integration of the MCP framework with popular tools and AI frameworks like Google ADK, LlamaIndex, and LangChain through a client-server setup.
Hosts multiple Model Context Protocol servers, each offering access to diverse public APIs and services.
Enables building and orchestrating custom Model Context Protocol servers for multi-agent communication and tool integration.
Exposes Language Server Protocol (LSP) capabilities through multilspy to provide language intelligence to language models.
Transforms any Python library or code into a robust, scalable, and production-ready API with automatic service discovery.
Provides access to municipal building codes and compliance data, assisting with professional regulatory adherence.
Performs comprehensive music analysis and generation using the music21 library, designed for robust production environments.
Identifies mutation-specific clinical trials from clinicaltrials.gov based on genetic mutations.
Provides a Model Context Protocol (MCP) server for accessing mxHERO's high-performance Mail2Cloud Advanced multi-account email search service.
Facilitates the creation of Model Context Protocol (MCP) servers for extending applications with custom tools.
Configures a custom server using the Claude desktop application.
Enables access and searching of Lark (Feishu) documents via a Model Context Protocol server.
Exposes Mac system information via a local API for access by AI assistants.
Provides an integrated server and UI panel within VS Code/Cursor for retrieving and displaying command-line tool documentation.
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.