CHChmcp
Community
Enables comprehensive database operations and cloud management for ClickHouse via a Model Context Protocol (MCP) server.
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
CH
Chunker
CommunityChunks source code files and stores them in a ChromaDB vector database, including line range metadata.
CI
Ciqual
CommunityProvides SQL access to the comprehensive ANSES Ciqual French food composition and nutritional database.
CP
Claude Pytorch Treehugger
CommunityFacilitates interaction with the PyTorch HUD API, providing access to CI/CD data, job logs, and analytics.
CL
Clickzetta
CommunityEnables interaction with Clickzetta Lakehouse by providing database query and data insights capabilities.
CT
Clipboard To Supabase
CommunityAutomatically uploads images copied to the clipboard to Supabase Storage and replaces the clipboard content with the image's URL.
CM
Cloudflare MySQL
CloudflareEnables secure, role-based access to MySQL databases through a Model Context Protocol server, optimized for Cloudflare Workers.
Enable AI agents and applications to securely interact with your PostgreSQL database, deployed as a remote server with GitHub OAuth and Cloudflare.
CO
CockroachDB
CommunityExposes CockroachDB database and table schemas as resources, executes SQL queries as tools, and provides prompts for query analysis.
CR
Codebase RAG
CommunityEnables semantic codebase search and file retrieval through embeddings and a PostgreSQL database.
CD
Coder Db
CommunityEnhances programming workflows by leveraging vector embeddings, structured databases, and knowledge graphs to intelligently store, retrieve, and analyze code patterns.
CO
CodeRAG
CommunityAnalyzes codebases and builds a comprehensive graph database using Neo4j to enable AI-powered code understanding and assistance.
CO
Coinglass
CommunityAccess futures market analytics, including Open Interest, Liquidations, Long/Short Ratio, and Funding Rates, via the CoinGlass API.
CO
Community
CommunityConnects conversational agents to external services like CRM, GraphQL APIs, and databases through Model Context Protocol servers.
CD
Connect Database
CommunityProvides an interface for connecting to and querying a SQLite database containing customer information via the Model Context Protocol.
CC
Consumer Complaint Database
CommunityEnables querying of the Consumer Financial Protection Bureau's (CFPB) Consumer Complaint Database API from within applications like Claude Desktop.
CA
Contact Authorities
CommunityLogs contact events with authorities, providing rate limiting and persistent storage via Supabase.
CS
Conversation Save Load
CommunityManages the storage and retrieval of conversation data for persistent use.
CO
Cortellis
CommunityEnables access to the Cortellis drug database for searching drugs, exploring ontology terms, and retrieving detailed information.
CO
CosmosDB
CommunityEnables comprehensive database operations, analysis, and data querying for Azure CosmosDB through the Model Context Protocol.
CO
Couchbase
CommunityEnables Large Language Models to interact directly with Couchbase databases through natural language.
CO
CouchDB
CommunityEnables AI assistants to interact with and manage CouchDB databases and documents through a simplified interface.
CD
Cps Data
CommunityExposes a local SQLite database and LanceDB vector database containing information on Chicago Public Schools.
CR
CrateDB
CommunityEnables Large Language Models (LLMs) to directly interact with CrateDB databases.
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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