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Extends AI assistant capabilities by providing a Model Context Protocol (MCP) server for integrating external tools and data sources.
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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
Provides AI assistants with comprehensive access to Microsoft 365 services through the Model Context Protocol (MCP), enabling natural language automation of email, calendar, file…
Provides secure and standardized access to Microsoft 365 services for AI platforms via the Model Context Protocol.
MF
Midi File
CommunityEnables AI assistants to parse, analyze, and modify MIDI files using the Model Context Protocol (MCP).
MI
Migadu
CommunityEnables AI assistants to manage Migadu email hosting services.
MC
Minecraft Client
CommunityConnects AI agents to Minecraft servers, enabling comprehensive control over in-game bots and execution of predefined skills.
MI
MiniMe
CommunityEnhances AI coding assistants by providing a persistent memory and cross-project intelligence layer within integrated development environments.
MI
Mise
CommunityEnables AI assistants to interact with and execute mise tasks within projects.
MI
Missive
CommunityIntegrates with Missive App to create and send email drafts programmatically.
MI
Mist
CommunityEmpowers AI assistants with real-world capabilities through a standardized protocol for interacting with services like Gmail, Calendar, Tasks, Git, and note management.
MI
Mistral
CommunityEnables chatting with Mistral AI using text or text and image inputs via the Model Context Protocol.
MB
MLC Bakery
CommunityManages machine learning model provenance and lineage using a Python-based service.
MP
Mlflow Prompt Registry
CommunityExposes prompts stored in an MLflow Prompt Registry via the Model Context Protocol (MCP).
MN
Mnemo
CommunityOrchestrates advanced memory and context management for AI assistants.
MO
Mobi
CommunityFacilitates agentic interfacing with Mobi instances via the Model Context Protocol, enabling AI models to interact with Mobi's functionality.
MO
Mobile
CommunitySimplifies mobile application development for Android, iOS, and Flutter by providing essential backend services and AI-powered tools.
MA
Mobile Automation Test
CommunityAutomates mobile test generation and management by integrating with frameworks, JIRA, and BDD methodologies.
MO
MobSF
CommunityProvides a standardized interface for integrating MobSF's security analysis capabilities into automated workflows.
MC
Model Context Protocol Demo
CommunityDemonstrates the implementation of Model Context Protocol (MCP) using Langchain MCP Adapters and Ollama.
MC
Model Context Protocol Server
CommunityEmpowers AI assistants to safely utilize external tools by processing data and providing helpful error messages.
MO
Monad
CommunityEnables AI agents to interact with the Monad blockchain, facilitating tasks like checking balances, sending transactions, and deploying smart contracts.
MO
Mono
CommunityEnables AI assistants to retrieve Monobank statements and transaction data.
MO
MoziChem
CommunityEnables AI assistants to perform complex chemical calculations, thermodynamic modeling, and process engineering tasks through Model Context Protocol (MCP) servers.
MoziChem Hub
CommunityProvides a modular Python toolkit for creating Model Context Protocol (MCP) modules specifically designed for chemical engineering and chemistry workflows.
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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