Audio Plugin
Transcribes audio files to text using a speech recognition API.
Browse 6,627+ Model Context Protocol servers for Claude, Cursor, and VS Code. Find the perfect tools for your AI workflow.
Transcribes audio files to text using a speech recognition API.
Transcribes audio files using OpenAI's Whisper API within an MCP server environment.
Provides access to the Protein Data Bank (PDB), offering information about 3D structures of biomolecules.
Provides an advanced AI companion experience featuring emotional intelligence, sophisticated memory management, and extensive tool integration.
Showcases a FastMCP server with both authenticated and unauthenticated endpoints, secured by Nginx, Envoy, and Open Policy Agent.
Provides a modular and secure OAuth 2.0 authentication server for FastMCP applications using Auth0.
Integrates with Authentik API via the Model Context Protocol, offering both full CRUD and diagnostic capabilities for identity and access management.
Deploys a remote Model Context Protocol (MCP) server that operates without requiring authentication on Cloudflare Workers.
Analyzes academic author networks and research collaborations by extracting information from multiple data sources.
Automates the installation and management of Model Context Protocol (MCP) servers.
Monitors, diagnoses, and automatically resolves issues in containerized applications using AI-powered incident analysis.
Automates and monitors code builds for any project by watching for code changes, triggering builds, managing concurrency, and capturing logs.
Empowers AI assistants to search and retrieve comprehensive Microsoft AutoGen documentation across various versions.
Enforces security configurations for Microsoft 365 in accordance with CISA Binding Operational Directive 25-01.
Provides an interface to access the Autumn pricing API for customer management within AI applications.
Demonstrates a server for fetching aviation weather data using the Model Context Protocol.
Provides a vector search system for document retrieval using MongoDB Atlas Vector Search and Voyage AI embeddings.
Transforms Model Context Protocol (MCP) server configurations into deployable cloud infrastructure.
Curates a list of awesome Model Context Protocol (MCP) servers.
Provides a categorized collection of Model Context Protocol (MCP) servers, facilitating discovery and utilization of AI model integrations.
Explore a curated list of security tools' MCP servers designed to enhance security research, threat hunting, malware analysis, and reverse engineering.
Enables execution of AWS CLI commands directly from Claude.
Integrates with AWS Cognito to provide user authentication and management for MCP applications.
Automates AWS infrastructure deployment using natural language commands and the Model Context Protocol.
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 →
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.
When selecting an MCP server, consider:
For detailed setup guides, see our Complete MCP Server Setup Guide →
Everything you need to know about installing, using, and troubleshooting Model Context Protocol.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.