GSGSuite
Community
Enables interaction with Google Workspace products such as Gmail and Calendar.
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
GU
GuMCP
CommunityUnifies Model Context Protocol (MCP) servers with a consistent backend for local and remote AI integrations.
HA
Home Assistant
CommunityConnects a local Home Assistant instance to Language Learning Models (LLMs) via the Model Context Protocol (MCP).
LB
LINE Bot
CommunityIntegrates the LINE Messaging API, enabling connection of an AI Agent to a LINE Official Account.
LS
LLM Sandbox
CommunitySecurely executes code generated by Large Language Models in an isolated and portable environment.
ML
Mcp Link
CommunityConverts APIs described by OpenAPI specifications into MCP-compatible interfaces for seamless integration with AI agents.
MG
Mcp-get
CommunityInstalls and manages Model Context Protocol (MCP) servers for seamless integration between LLM applications and external data sources.
MP
Mcp-Proxy
CommunityAggregates and serves multiple Model Context Protocol (MCP) resource servers through a single HTTP server.
ME
Mcp.el
CommunityEnables Emacs to interface with MCP servers for structured communication and resource management.
MC
Mcpadapt
CommunityEnables seamless integration of over 650 Model Context Protocol (MCP) servers into agentic frameworks.
ME
MetaMCP
CommunityManage and unify multiple MCP server integrations through a single GUI application.
Leverages AI to provide advanced code search and discovery across GitHub and NPM, understanding connections between repositories and packages.
OM
Openapi Mcp Generator
CommunityGenerates Model Context Protocol (MCP) servers from OpenAPI specifications, enabling AI agents to interact with existing REST APIs.
OP
OpenSearch Python Client
CommunityEnables interaction with OpenSearch clusters using Python.
OS
Osv-Scalibr
CommunityAnalyzes software composition to extract inventory data, detect vulnerabilities, and generate SBOMs.
PA
Pandoc
CommunityEnables document format conversion using pandoc through a Model Context Protocol server.
PM
PmHub
CommunityFacilitates rapid mastery of microservice and distributed project architecture design and development processes.
RA
Rag
CommunityCombines search and Large Language Models (LLMs) to generate insights from your data using Retrieval Augmented Generation (RAG).
RT
Ref Tools
CommunityProvides AI coding tools and agents with access to documentation for APIs, services, and libraries.
RM
Remote Macos Use
CommunityEnables AI agents to fully control remote macOS systems without requiring additional software installation.
RO
Router
CommunityManage Model Context Protocol servers with ease.
SE
Semgrep
CommunityScans code snippets and directories for security vulnerabilities using Semgrep within an LLM environment.
SE
Send Email
CommunityEnables sending emails directly from Cursor or Claude Desktop using the Resend API.
ST
Sequential Thinking Tools
CommunityRecommends Model Context Protocol (MCP) tools to effectively guide problem-solving by breaking down complex tasks into manageable steps.
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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