FAFastAPI Application
Community
Provides an example REST API application built with FastAPI, demonstrating integration with the Model Context Protocol (MCP).
Directory
MCP Server Directory
Browse 6,627+ Model Context Protocol servers for Claude, Cursor, and VS Code. Find the perfect tools for your AI workflow.
MCP Servers listings
FC
FastAPI Crud
CommunityBuilds a minimal CRUD API with FastAPI and exposes endpoints as MCP tools.
FO
FastAPI OpenAPI
CommunityEnables FastAPI applications to expose their endpoints as an AI-friendly, introspectable server using the Model Context Protocol.
FT
FastAPI Template
CommunityAccelerate development of production-grade API servers integrated with large language models, featuring structured logging, comprehensive testing, and an excellent developer exper…
FA
Fastly
CommunityConnects Fastly's API to AI assistants through the Model Context Protocol, enabling AI-driven management of Fastly services.
FN
Fastly NGWAF
CommunityEnables AI assistants to manage Fastly NGWAF web application firewall settings and monitor security events using natural language.
FL
FastMCP Lab
CommunityDevelops an MCP client to interact with tools, resources, and prompts exposed by an MCP server using the FastMCP framework.
FR
FastMCP Render Boilerplate
CommunityProvides a quickstart boilerplate for building Model Context Protocol servers with Python and FastMCP, optimized for Render deployment.
FT
Fastmcp Todo
CommunityReceives todo requests via FastMCP and stores them in MongoDB for processing.
FA
Favicon
CommunityConverts SVG images into favicon formats (ICO and PNG) for web applications, supporting base64 encoding and MCP protocol integration.
FA
Faxbot
CommunityProvides an open-source, self-hostable REST API for sending faxes with integrated AI assistant support and HIPAA compliance.
FB
FDIC BankFind
CommunityWraps the FDIC Bank Find API as a Model Context Protocol (MCP) server.
FG
Fear & Greed
CommunityProvides real-time access to the CNN Fear & Greed Index for the US stock market.
Integrates GitHub features into Claude Desktop using the Model Context Protocol, providing access to 15 tools.
FD
Feature Discussion
CommunityFacilitates intelligent feature discussions between developers and AI to guide feature implementation and architectural decisions.
FC
Feedback Collector
CommunityCollects user feedback with text and image support through an Electron application.
FE
Feedforward
CommunityCollect interactive user feedback for AI assistants with a modern, customizable GUI.
FA
FeedMob Advertising Reporting
CommunityIntegrates with various advertising platforms' APIs to retrieve campaign reporting data.
FB
Feishu Bot
CommunityImplements a Python server for Feishu (Lark) bots utilizing the Model Context Protocol for standardized messaging.
FF
FEP-FEM
CommunityBuilds networks of intelligent agents that securely discover, share, and adapt their capabilities at scale.
FE
FereAI
CommunityEnables AI assistants to interact with the 0xMONK Trading Agent API for managing trading agents and executing trades.
FE
Fermat
CommunityUnifies SymPy, NumPy, and Matplotlib into a powerful server for advanced mathematical computations and visualizations.
FJ
Fetch JSONPath
CommunityExtracts and fetches JSON data from URLs using JSONPath patterns, functioning as a Model Context Protocol server.
FW
Fetch Weather
CommunityProvides current city weather data through a minimalist Model Context Protocol (MCP) server, serving as an example for LLM-tool communication.
What Are MCP Servers?
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 →
How MCP Servers Work
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.
Types of MCP Servers
- Code Completion Servers: Enhance AI coding assistants with context from your codebase, documentation, and project structure.
- API Integration Servers: Connect AI to REST APIs, GraphQL endpoints, and web services for real-time data access.
- File Management Servers: Enable AI to read, write, and organize files in your development environment.
- Data Analysis Servers: Connect AI to databases, data warehouses, and analytics tools.
Choosing the Right MCP Server
When selecting an MCP server, consider:
- IDE Compatibility: Ensure it works with Cursor, VS Code, or your preferred editor
- Use Case Match: Choose servers designed for your specific needs
- Maintenance Status: Prefer actively maintained servers with recent updates
- GitHub Activity: Higher stars and recent commits indicate quality
Popular Use Cases
- AI-Powered Code Completion Enhance Cursor and Claude with project-specific context.
- Automated API Testing Connect AI to your APIs for intelligent testing and debugging.
- Database Querying Let AI write and execute SQL queries against your databases.
For detailed setup guides, see our Complete MCP Server Setup Guide →
Frequently Asked Questions About MCP Servers
Everything you need to know about installing, using, and troubleshooting Model Context Protocol.
How do I install MCP servers in Cursor?
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.
What's the difference between MCP servers and VS Code extensions?
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.
Are these MCP servers free to use?
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.
Can I build my own MCP server?
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.
What is a Model Context Protocol (MCP) server?
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.
How do MCP servers work with Claude?
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.
What are the best MCP servers to start with?
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.
How do I install and configure MCP servers?
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.
Are MCP servers secure?
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.
What's the difference between MCP resources, tools, and prompts?
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.
Which AI clients support MCP besides Claude Desktop?
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.
How often is this MCP servers directory updated?
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.
- Guide · 12 min
Top 20 MCP Servers for Cursor Users (2025)
- Guide · 8 min
MCP Server Curation Guide 2025
- Security · 7 min
MCP Server Security Best Practices 2025