Headline Vibes
Analyzes the sentiment of news headlines from major US publications for a given date.
Browse 6,627+ Model Context Protocol servers for Claude, Cursor, and VS Code. Find the perfect tools for your AI workflow.
Analyzes the sentiment of news headlines from major US publications for a given date.
Provides a comprehensive FastAPI microservice for managing health-related operations, integrating with an MCP server.
Tracks calories and integrates meal logging with nutrition data and health metrics through a unified platform.
Facilitates interaction with the Hedera network by providing tools for wallet creation, balance checks, and transaction management.
Provides weather forecast data for locations in China using the HeFeng Weather API.
Provides a basic server template for implementing the Model Context Protocol (MCP) in Rust.
Provides a comprehensive Model Context Protocol server for secure AI model communication with external tools and services.
Provides a Model Context Protocol (MCP) server with pre-built tools and resources for quick experimentation.
Serves as a foundational example demonstrating how to build Model Context Protocol (MCP) servers with TypeScript, offering basic resources and tools.
Provides a basic Model Context Protocol (MCP) server demonstrating simple tools for greeting and arithmetic operations.
Connects Help Scout with AI agents to enable intelligent search, analysis, and management of customer support data.
Enables full-text and semantic search over Azure Cognitive Search using type-safe operations.
Provides a professional template and framework for building robust Model Context Protocol (MCP) servers in Python.
Builds a Model Context Protocol server using Node.js for handling interactions and providing information via an API.
Exposes Jira data through the Model Context Protocol.
Checks for exposed accounts or passwords via the Have I Been Pwned API.
Extracts diffs from GitHub Pull Requests via the GitHub REST API.
Extracts transcript text from YouTube videos using various URL formats.
Augments AI model responses with real-time search results via the Higress ai-search plugin.
Provides access to remote job listings and company information sourced from Himalayas.app.
Provides tools to interact with the HireBase Job API for searching jobs and generating candidate profile prompts.
Enables access, search, and management of shell command history via the Model Control Protocol (MCP).
Provides a template for creating custom tools for the Cursor IDE using the Model Context Protocol (MCP).
Provides access to Hong Kong climate and weather data through a FastMCP 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.