Professional SEO Checker
Deploys a remote server for comprehensive SEO auditing of webpages, providing structured insights across on-page, technical, and social media aspects.
Browse 6,627+ Model Context Protocol servers for Claude, Cursor, and VS Code. Find the perfect tools for your AI workflow.
Deploys a remote server for comprehensive SEO auditing of webpages, providing structured insights across on-page, technical, and social media aspects.
Provides an extensive catalog of free public APIs with semantic search capabilities.
Provides real-time public transport data across Europe through an MCP-compatible local server.
Manages qualitative research context across sessions using a knowledge graph.
Manages quantitative research context across sessions using a knowledge graph based server.
Enables cross-chain bridging and token swapping operations via the Relay Protocol REST API.
Enables remote command execution across different operating systems through a unified interface.
Query data across decentralized chains, social media platforms, and the RSS3 network.
Enables large language models to manage social media accounts and create posts across various platforms via the Model Context Protocol.
Executes shell commands securely across multiple platforms using an MCP server.
Orchestrates system updates, application installations, and performance optimizations across diverse operating systems, enabling agentic AI integration for intelligent management.
Provides access to Tatum's comprehensive blockchain API, supporting over 130 networks and 59 tools across multiple feature categories.
Manages WhatsApp marketing and messaging, handling both free-form and template-based conversations through Titanmind.
Revokes ERC-20 token allowances across multiple blockchains for enhanced security.
Integrates AI assistants with the TrackMage API to track shipments, manage logistics, and monitor package delivery across over 1600 global carriers.
Tracks newly created liquidity pools on Uniswap across nine blockchain networks in real-time.
Enables AI models to retrieve high-quality context from Valyu's API, including comprehensive search capabilities across Wikipedia, arXiv, and the web.
Enables AI-powered video search, analysis, and transcription across multiple platforms via the Model Context Protocol.
Retrieves historical weather data from Visual Crossing's API.
Converts PNG, JPG, and JPEG images to WebP format in batches with cross-platform support.
Provides comprehensive word definitions and random vocabulary for daily learning using the Free Dictionary API.
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.