YEYepCode
Community
Enables AI platforms to interact with YepCode's infrastructure, turning processes into tools for AI assistants.
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
YN
Ynab
CommunityInteract with and manage your You Need A Budget (YNAB) budgets through an AI interface.
ZM
ZMCPTools
CommunityProvides a professional TypeScript-first platform for Claude Code, enabling multi-agent orchestration, advanced browser automation, and comprehensive documentation intelligence.
AC
Acquaint
CommunityEnables MCP-enabled tools to interact with and run code within existing R sessions.
BR
Bridge
CommunityProvides a centralized gateway and proxy for Model Context Protocol (MCP) servers, enhancing secure and scalable AI model interactions.
CA
Crew AI
CommunityOrchestrates multi-agent workflows by automatically loading configurations and executing them via the Model Context Protocol.
DE
DeepSecure
CommunityProvides effortless identity, credential, and access management for AI agents and AI-powered workflows.
FL
Fast LLM & Agents
CommunityProvides practical examples and theoretical concepts for developing LLM-powered agents and multi-agent systems using tools like Google ADK.
GR
Gradle
CommunityEnables AI tools to interact with Gradle projects programmatically via the Model Context Protocol.
JU
Just
CommunityTransforms justfiles into AI-accessible automation tools, enabling AI assistants to understand and execute project workflows.
KM
Keycloak Model Context
CommunityEnables AI-powered administration of Keycloak users and realms through the Model Context Protocol.
KR
Kroger
CommunityProvides AI assistants with access to Kroger's grocery shopping functionality via the Model Context Protocol (MCP).
MA
Mailgun
CommunityEnables AI clients to interact with Mailgun services using the Model Context Protocol.
ML
Mcp Logic
CommunityEnables logical theorem proving and model verification for AI systems via a Model Context Protocol interface.
MP
MCP Playground
CommunityFacilitates chat interactions with LLMs and seamlessly integrates external MCP tools using a Streamlit-based interface.
MC
MCPMC
CommunityEnables AI agents to interact with Minecraft using the Model Context Protocol via Mineflayer.
MP
Meta Prompt
CommunityTransforms a standard Language Model into a dynamic, multi-agent system by simulating Conductor and Expert roles.
NM
Nmap
CommunityEnables AI assistants to perform network scanning operations using NMAP through a standardized interface.
NO
Notify
CommunitySends system notifications with sound when Agent tasks are completed, ensuring users are promptly alerted upon task completion.
OK
Okta
CommunityEnables AI models to interact directly with your Okta environment using the Model Context Protocol (MCP).
PS
Prompt Server Go
CommunityProvides pre-defined prompt templates for Model Context Protocol (MCP) to streamline task execution in editors like Cursor and Windsurf.
RA
Recraft AI
CommunityIntegrates Recraft AI's image generation and editing capabilities into MCP clients.
SC
Salesforce CLI
CommunityExposes Salesforce CLI commands as Model Context Protocol (MCP) tools for use in LLM-powered agents.
TM
To Markdown
CommunityConverts various file formats into Markdown descriptions using Cloudflare AI services.
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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