Nautobot
Enables AI assistants to interact with Nautobot network automation platforms, providing access to network inventory data.
Browse 6,627+ Model Context Protocol servers for Claude, Cursor, and VS Code. Find the perfect tools for your AI workflow.
Enables AI assistants to interact with Nautobot network automation platforms, providing access to network inventory data.
Provides a standardized interface for AI models to access real-time information about the New England power grid.
Manages AI agents and tasks using the CrewAI framework.
Provides structured, real-time access to the entire Solana DeFi ecosystem for developers and AI agents.
Enhances AI assistant interactions by providing on-demand Model Context Protocol (MCP) servers with specific functionalities.
Enables interaction with the Neo N3 blockchain for data retrieval, wallet management, asset transfers, and smart contract invocation.
Integrates large language models with network devices via a standardized protocol to facilitate network configuration, diagnostics, and management.
Collects, processes, and analyzes real-time news data from Google News RSS feeds using LangGraph workflows and an OpenAI model.
Provides a Model Context Protocol server to convert natural language questions into SQL queries using AI.
Automates Node.js development with project scaffolding, component generation, and AI-powered assistance.
Provides a comprehensive Artificial General Intelligence system featuring 20 specialized tools for AI automation, advanced data processing, and intelligent task execution.
Executes JavaScript code securely within ephemeral Docker containers, enabling dynamic code generation and testing for AI agents and LLMs.
Provides comprehensive automation and control over Notepad++ through a FastMCP server, enhancing productivity for Windows users.
Integrates NotePlan.co with Claude Desktop, enabling AI-powered management and interaction with your notes.
Organizes MCP Server tools into available categories.
Plays notification sounds via a Model Context Protocol server when tasks are completed by AI agents.
Automates the generation of Anki flashcards from Notion pages, converting toggle blocks into structured cards using AI and real-time import via AnkiConnect.
Fetches information about npm packages, including details and popularity rankings.
Integrates Neovim instances with AI assistants via a Model Context Protocol (MCP) server, enabling interactive control and access to diagnostic information.
Empowers AI agents to deeply understand, navigate, and enhance Obsidian vaults through advanced interaction capabilities.
Intelligently consolidates and manages scattered knowledge fragments within Obsidian vaults using Claude AI.
Provides LLMs and AI agents with enhanced, secure, and advanced access to Obsidian vaults for comprehensive note and file management.
Connects local Obsidian vaults stored in iCloud to AI via the Model Context Protocol (MCP).
Stores AI memories as Obsidian-compatible Markdown files, enabling knowledge graph visualization.
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.