Filesys
Provides filesystem operations with controlled access to specified directories via a secure Model Context Protocol (MCP) server.
Browse 6,627+ Model Context Protocol servers for Claude, Cursor, and VS Code. Find the perfect tools for your AI workflow.
Provides filesystem operations with controlled access to specified directories via a secure Model Context Protocol (MCP) server.
Enables blockchain-based dataset trading functionality, leveraging Filecoin, IPFS, Ethereum smart contracts, and Lit Protocol for decentralized encryption.
Unifies interaction with multiple payment providers (like Stripe and Paystack) through a single, self-hosted API for AI agents and enterprise systems.
Enables AI assistants to fetch and analyze financial news from various sources based on user queries.
Empowers large language models to retrieve, analyze, and visualize comprehensive stock market and financial report data.
Provides comprehensive stock market information through RESTful APIs and MCP, sourcing data from Yahoo Finance.
Provides real-time financial data and calculations through a set of APIs.
Query European financial data through an API optimized for use with AI language models.
Provides convenient access to the Finbud Data REST API from server-side TypeScript or JavaScript.
Locates files on a computer using various filtering options.
Retrieves stock data from the Alpha Vantage API for use as context in Large Language Models.
Fetches live weather details by city or coordinates using the WeatherAPI.com service, integrating with agentic AI solutions.
Provides simplified, local access to Finix payment processing functionality through an unofficial Model Context Protocol (MCP) server.
Provides comprehensive financial market data from multiple global stock exchanges through a standardized Model Context Protocol (MCP) interface.
Unifies financial AI applications into a comprehensive Model Context Protocol ecosystem, offering deep research, trading integrations, and specialized AI model training for financ…
Interfaces with the Finnhub API to retrieve market data, news, and financial information for stocks.
Facilitates Model Context Protocol (MCP) interactions with Firebase, supporting both local Node.js and Cloudflare Workers environments.
Connects large language models to the Firebolt data warehouse.
Enables transcript retrieval, search, and summary generation from the Fireflies.ai API.
Enables AI assistants to manage personal finances by interacting with Firefly III instances through a Model Context Protocol (MCP) server.
Facilitates communication between Firefox and the Claude web application via a server-side websocket connection.
Filters text data with a powerful rules engine to protect data and enforce policies when using Large Language Models.
Integrates Firewalla firewall data with AI platforms like Claude for advanced network security monitoring and management.
Integrates Fish Audio's Text-to-Speech API with large language models, enabling natural language-driven speech synthesis through the Model Context Protocol.
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.