CMCline Memory Bank
Community
Maintains project context across development sessions for AI-assisted coding with the Cline VSCode extension.
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
CL
Clueo
CommunityEmpower AI with rich, consistent personalities via a Big Five personality engine for Model Context Protocol-compatible applications.
CM
Containerd Manager
CommunityManages containerd CRI interfaces using the Rust Model Context Protocol (RMCP) library.
CO
Coolify
CommunityEnables AI assistants to interact with Coolify instances through natural language.
DG
Data.gov.il
CommunityProvides an advanced Model Context Protocol (MCP) server for seamless access to Israeli Government Open Data via data.gov.il.
FL
Flutter
CommunityProvides AI assistants with real-time, up-to-date Flutter and Dart documentation, including comprehensive pub.dev package information.
FU
Funnel
CommunityAggregates and filters Model Context Protocol (MCP) server tools, optimizing context usage and preventing naming conflicts for AI clients.
GO
Gofannon
CommunityEnhance function-calling-enabled language models and agents with a robust collection of tools.
HG
Headless Gmail
CommunityEnables programmatic Gmail access for sending and receiving emails without local credential or token setup.
LE
LeetCode
CommunityEnables advanced automation and intelligent interaction with LeetCode's problems, contests, solutions, and user data.
LT
Logseq Tools
CommunityEnables AI assistants to interact with and extract information from a Logseq knowledge graph.
MT
MCP Think Tank
CommunityEnhances AI reasoning with structured thinking, persistent memory, and responsible tool usage.
MG
Mcp-Gdb
CommunityEnables GDB debugging functionality within AI assistants like Claude through the Model Context Protocol.
MW
Memories With Lessons
CommunityEnables AI agents to remember user information and learn from past errors using a local knowledge graph with lesson management.
RD
Rubber Duck
CommunityBridges multiple OpenAI-compatible LLMs, providing an interface for querying various AI perspectives with tool access.
TH
Thinking
CommunityExtracts the chain of thought from the Deepseek R1 reasoning model for use in Claude Desktop or any MCP client.
TC
Tool Chainer
CommunityChains calls to other Model Context Protocol (MCP) tools, reducing token usage by enabling sequential tool execution with result passing.
CE
CrewAI Enterprise
CommunityDeploys and monitors the status of CrewAI workflows.
EP
Eliza Plugin MCP
CommunityIntegrates the Model Context Protocol (MCP) with ElizaOS, allowing agents to connect to multiple MCP servers and use their resources, prompts, and tools.
GD
Gdai
CommunityEnables MCP clients to perform editor actions within the Godot Engine.
GB
Gemini Bridge
CommunityBridges AI coding assistants to Google's Gemini AI using the official CLI for cost-effective, direct model interaction.
HE
Healthcare
CommunityProvides AI assistants with access to healthcare data and medical information tools.
HO
Houdini
CommunityConnects Houdini to Claude AI, enabling prompt-assisted 3D modeling and scene creation through the Model Context Protocol.
IN
Infobus
CommunityEnables AI assistants and chatbots to access transit information through standardized interfaces.
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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