eStat
Enables generative AI to interact with the Japanese government's e-Stat API.
Browse 6,627+ Model Context Protocol servers for Claude, Cursor, and VS Code. Find the perfect tools for your AI workflow.
Enables generative AI to interact with the Japanese government's e-Stat API.
Enables semantic search of user-provided ETABS documentation using local embeddings and a Model Context Protocol (MCP) server.
Analyze Exchange-Traded Funds (ETFs) using real-time and historical data, offering insights into market trends and sentiment.
Exposes Ethereum wallet functionality to LLM applications through the Model Context Protocol.
Provides Ethereum blockchain data tools via Etherscan's API for interacting with the Ethereum blockchain.
Exposes a curated set of Etherscan V2 endpoints as Model Context Protocol (MCP) tools.
Enables interaction with eToro's public API endpoints for fetching portfolio data and instrument details.
Orchestrates data governance policies for LLM-based applications within the Model Context Protocol (MCP) ecosystem.
Provides real-time EVE Server Time (EST) information and downtime calculations for EVE Online players and applications.
Provides a Model Context Protocol server for accessing EVE Online market data via the ESI API.
Provides comprehensive Open Source Intelligence (OSINT) capabilities for EVE Online characters, corporations, and alliances by integrating data from ESI, EveWho, and zKillboard AP…
Provides a comprehensive Model Context Protocol server for EVE Online traffic, navigation, and system information leveraging official ESI and SDE data.
Provides EVE Online market data access via the EVE Tycoon API as a Model Context Protocol server.
Enables LLMs to manage EVE-NG network topologies, labs, nodes, and configurations through a standardized Model Context Protocol (MCP) interface.
Provides a foundational Python-based server for streamable HTTP communication with built-in authentication.
Enables AI assistants to interact with the Eventbrite API for event discovery and management.
Identifies potential external events like holidays or major happenings that may be causing traffic drops, helping SREs distinguish them from actual outages.
Enables AI assistants to interact with Evernote, allowing seamless note creation, searching, reading, and management through natural language.
Implements a system-wide Model Context Protocol server offering file operations, HTTP requests, and command execution.
Dockerizes the MCP Everything server, providing SSE transport for efficient data streaming.
Manages Ethereum private keys and deploys smart contracts via Infura.
Interfaces with the Evolution API by setting up an stdio MCP server and exposing it as a server-sent events (SSE) endpoint.
Enables clients to read Excel files via an MCP server.
Empower Large Language Models to read, explore, and analyze Excel files directly.
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.