A directory of Model Context Protocol (MCP) servers and clients for AI integration
MCP Server Space is an online directory that lists Model Context Protocol (MCP) servers and clients, enabling developers and AI agents to discover, integrate, and use MCP implementations for extending large language model capabilities.
The Model Context Protocol (MCP) is an open standard that enables AI models like Claude to securely connect with external data sources, tools, and services.
MCP was introduced by Anthropic and open‑sourced as a community‑driven standard.
Listings include permissions, capabilities, and source links. Basic checks are performed, but security is not guaranteed; users should review code and sandbox servers.
MCP securely extends AI capabilities by connecting to external data and tools. Common use cases include real‑time Q&A, automated workflows, and enterprise knowledge integration.
Add the server to your MCP‑compatible client configuration (e.g., a “mcpServers” section) and follow the server’s README for authentication and environment variables.
Yes. SDKs are available in multiple languages (commonly TypeScript and Python). Start with examples, then publish your server to the community.
Popular clients include those released by Anthropic and various community projects. Check each client’s documentation for MCP support.
Use the submit form with a repository link, brief capabilities, and permission notes. The site will perform a basic review before publishing.
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