APApktool
Community
Integrates Apktool with Model Context Protocol (MCP) to provide live reverse engineering support with LLMs like Claude.
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
CA
Calculator
CommunityExtends AI capabilities by providing a powerful interface for remote control, calculations, email operations, and knowledge search.
CD
Claude Desktop Linux Flake
CommunityEnables running Claude Desktop on Linux systems using a Nix flake.
CR
Code Reasoning
CommunityEnhances Claude's ability to solve complex programming tasks by enabling structured, step-by-step reasoning.
DE
DeepSeek
CommunityIntegrates DeepSeek's language models with Model Context Protocol-compatible applications.
DO
Documentation
CommunityManages and semantically searches documents using AI embeddings, bridging knowledge gaps for various content types.
EM
Emcee
CommunityExposes any web application with an OpenAPI specification as a Model Context Protocol (MCP) server.
FO
ForeverVM
CommunitySecurely executes stateful Python code in sandboxed environments designed to run indefinitely.
GS
G-Search
CommunityEnables parallel Google searches with multiple keywords using a Playwright-powered MCP server.
GD
Gdrive
CommunityEnables reading and writing to Google Drive files and Google Sheets via the Model Context Protocol.
GI
Gibber
CommunityProvides cryptographic tools for establishing end-to-end encryption between LLM agents.
Analyze advertising data through natural language conversations using Claude AI and Google Ads integration.
GR
GPT Researcher
CommunityEnables LLM applications to perform in-depth research through the MCP protocol.
LA
Lambda
CommunitySimplifies the creation of serverless Model Context Protocol (MCP) tools using AWS Lambda and Streamable HTTP.
LO
Lark OpenAPI
CommunityEnables AI Agents to efficiently collaborate with Feishu/Lark by encapsulating Open Platform API interfaces.
LC
Llm Context
CommunityInjects relevant code and text context into Large Language Model chat interfaces.
LL
Llmbasedos
CommunityExposes local capabilities to Large Language Models (LLMs) via the Model Context Protocol (MCP).
MM
Mcp Manager
CommunityManages Model Context Protocol (MCP) servers for the Claude Desktop application.
MC
Mcpsvr
CommunityHosts a community-driven directory of MCP servers, enabling developers to discover and share tools.
ME
Memento
CommunityProvides LLMs with a scalable knowledge graph memory system, enabling semantic retrieval, contextual recall, and temporal awareness.
MI
MintHCM
CommunityEmpowers organizations with an AI-enabled, open-source Human Capital Management system to streamline HR operations.
MC
Model Context Protocol Resources
CommunityA collection of guides, utilities, clients, and servers developed while exploring and implementing the Model Context Protocol (MCP).
M3
Ms 365
CommunityEnables interaction with Microsoft 365 services through the Graph API using a Model Context Protocol.
MP
Mysql Pro
MysqlEnables enhanced MySQL operations with anomaly analysis and custom tool extension capabilities.
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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