RedPanal
Provides an MCP server to manage and interact with RedPanal.org's audio platform, enabling listing, detailing, downloading, and uploading of audio files.
Browse 6,627+ Model Context Protocol servers for Claude, Cursor, and VS Code. Find the perfect tools for your AI workflow.
Provides an MCP server to manage and interact with RedPanal.org's audio platform, enabling listing, detailing, downloading, and uploading of audio files.
Adds state-of-the-art statistical verification to LLM pipelines, providing a robust AI second opinion.
Provides a FastMCP server to enable AI-powered ticket management within the REI3 Tickets application.
Provides AI-powered image background removal as an MCP server for compatible tools.
Deploys a containerized Model Context Protocol server on Amazon EKS, offering a calculator tool for basic arithmetic.
Generates and serves rental agreements and receipts as PDF documents on the fly, integrated with an AI-powered WhatsApp bot.
Streamlines the creation and management of service reports.
Automate Git repository operations, including cloning and pulling, with support for Agentic AI-driven management.
Orchestrates research tasks by gathering, analyzing, and synthesizing information from multiple sources using AI to answer complex queries.
Provides a Model Context Protocol (MCP) server implementation for sending emails using the Resend email service.
Manages structured resume data and generates customizable HTML previews using a Go-based Model Context Protocol (MCP) server.
Facilitates secure and contextual access for AI models to external tools and data, demonstrated through an AI-powered resume scoring application.
Analyzes retail supply chain data to provide actionable insights for inventory optimization, vendor management, and sales forecasting.
Verifies business emails, including catch-all and firewall-protected domains, with high accuracy.
Orchestrates AI-driven planning and execution workflows for software development by integrating Google Gemini with Claude Code.
Enables AI coding assistants to manage long-running development processes, providing background execution and real-time log access.
Serves a Rickroll HTML page when any path except the root is accessed on a Cloudflare Worker.
Enables AI-powered interactions with the Rijksmuseum's art collection through a chat interface.
Connect AI models to external data and services via a scalable Model Context Protocol server.
Connects FIRST Robotics Competition (FRC) data directly to Claude Desktop or Cursor IDE for AI-powered analysis.
Enables AI assistants to interact with the Rockfish machine learning platform through a Model Context Protocol (MCP) server.
Enables AI assistants to create, manage, and narrate interactive role-playing games with dynamic storylines and character management.
Automates rule generation, enforcement, and code enhancement for RooCode by connecting it with an AI-driven Main Control Process.
Enables AI assistants to monitor and control Robot Operating System (ROS) environments through a standardized Model Context Protocol (MCP) interface.
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.