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Generate images from natural language prompts using the ModelScope Qwen-Image model via an MCP server.
Browse 6,627+ Model Context Protocol servers for Claude, Cursor, and VS Code. Find the perfect tools for your AI workflow.
Generate images from natural language prompts using the ModelScope Qwen-Image model via an MCP server.
Provides a modular and extensible tool server built on FastMCP, supporting multiple tools organized across files.
Orchestrates a modular chatbot leveraging LangChain MCP to perform math calculations, fetch real-time weather data, and conduct web searches.
Facilitates the sharing of health and fitness metrics on the decentralized Nostr protocol with a focus on user privacy and data control.
Enables execution of various tasks on a server through a modular tool interface secured with path restrictions.
Explores the fundamentals of protocol design and client-server communication through a learning project.
Unifies development best practices across multiple programming languages into a single, comprehensive Model Context Protocol (MCP) server.
Manages mold inventory through a full-stack application leveraging Cloudflare Workers, Auth0, and modern web technologies.
Enables querying Mollie payment data using natural language via an LLM.
Manages orders through a REST API for a Model Context Protocol server.
Provides access to Monarch Money financial data and operations via an MCP server.
Enables querying live monday.com data from Large Language Models through a Model Context Protocol (MCP) interface.
Generates Moby-like random names via the Model Context Protocol for integration with AI assistants and developer tools.
Exposes comprehensive MongoDB Atlas API functionality as Model Context Protocol tools.
Exposes MongoDB data to LLMs like Claude Desktop through a read-only Model Context Protocol (MCP) server, leveraging CData JDBC Drivers.
Interacts with the Monobank API to retrieve financial data.
Generates sentiment-based music playlists by analyzing user queries with AI and integrating with the Last.fm API.
Integrates Moorcheh's embedding, vector store, search, and generative AI answer services with Model Context Protocol clients.
Accesses Morpho protocol vault data across multiple blockchain networks for LLM integration.
Hosts multiple remote Model Context Protocol (MCP) servers on DigitalOcean.
Retrieves movie and TV show information using the TMDB API.
Provides real-time and scheduled bus information for Montevideo's public transportation system, enabling users to query schedules, routes, and arrival times.
Implements a Model Context Protocol (MCP) server utilizing MQTT.
Enables MQTT operations over Server-Sent Events transport using 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.