MJMercari Japan
Community
Retrieves real-time product and price data from Mercari Japan for LLM analysis.
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
MR
Merge Request Summarizer
CommunityAutomates the generation of comprehensive merge request summaries from git logs, categorizing changes and providing structured descriptions.
ME
Mesh
CommunityProvides AI assistants native understanding and utilization of Mesh Design System components and design tokens.
ME
Metal
CommunityProvides Metal Framework documentation search and code generation capabilities via the Model Context Protocol (MCP).
Metaplex
CommunityProvides access to Metaplex documentation and repository information through the Model Context Protocol.
ME
Metaso
CommunityProvides an AI search engine server for diverse information retrieval and content parsing, integrating seamlessly with Model Context Protocol clients.
MG
MetaTag Genie
CommunityWrites image metadata to enhance Spotlight search on macOS.
MD
MetaTrader Data
CommunityProvides MetaTrader5 market data and technical indicators through a Model Context Protocol server.
ME
Mews
CommunityProvides comprehensive access to the Mews hospitality platform API through a standardized Model Context Protocol interface.
MK
Mi'kmaq Dictionary
CommunityProvides a comprehensive RESTful API for bidirectional Mi'kmaq language dictionary lookups and translations.
MI
Microcms
CommunityEnables LLMs to search and retrieve content from microCMS using the Model Context Protocol.
MC
Microservice Control Panel
CommunityBuilds and orchestrates AI applications through microservices with a modular and configurable system.
Deploys an MCP server and integrates it with Microsoft Copilot Studio, allowing seamless integration of knowledge servers and APIs.
Exposes Microsoft Exchange data to LLMs like Claude Desktop through a read-only MCP interface.
Empowers AI assistants with secure and programmatic access to the Microsoft Graph API for managing Azure AD resources and user data.
Enables LLMs to query live Microsoft Project data through a simple MCP interface.
Enables querying of live Microsoft Teams data from Large Language Models like Claude Desktop using natural language.
Sends notification messages to Microsoft Teams using Azure AD authentication.
MB
MIDI Bridge
CommunityConnects LLM-driven music generation to digital audio workstations (DAWs) via a virtual MIDI device.
MI
Midjourney
CommunityFacilitates Midjourney image generation through a Model Context Protocol (MCP) server, leveraging the GPTNB API.
MI
Mikefey
CommunityImplements a basic Model Context Protocol (MCP) server for facilitating communication between AI models and external tools.
MI
Mindm
CommunityEnables programmatic interaction with MindManager through the Model Context Protocol (MCP) for automation and integration on Windows and macOS.
MI
MindMesh
CommunityOrchestrates multiple specialized Claude 3.7 Sonnet instances in a quantum-inspired swarm to produce optimally coherent responses.
MB
Minecraft Bedrock
CommunityOffers a TypeScript-based server to programmatically control Minecraft Bedrock Edition using WebSocket connections.
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.
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