{"id":1190,"slug":"mcp-server","name":"MCP Server","short_description":"MCP servers expose tools, resources, and prompts to AI applications through the Model Context Protocol.","url":"https://github.com/topics/mcp-server","github_count":19942,"created_by":null,"logo_url":null,"released":null,"wikipedia_url":null,"related_topics":["mcp","model-context-protocol","ai-agent","llm"],"aliases":["mcp-servers"],"github_url":null,"content":"\u003cp\u003eMCP servers are lightweight programs that expose specific capabilities to AI applications through the Model Context Protocol (MCP). Each server acts as a bridge between AI models and external systems, providing tools (executable functions), resources (read-only data), and prompts (reusable templates) through a standardized interface.\u003c/p\u003e\n\n\u003cp\u003eMCP servers communicate with AI-powered clients over stdio for local processes or HTTP with Server-Sent Events for remote connections. They can integrate with databases, APIs, file systems, development tools, and cloud services. A single AI application can connect to multiple MCP servers simultaneously.\u003c/p\u003e\n\n\u003cp\u003eThe MCP server ecosystem includes registries such as the official MCP Registry, Glama, and Smithery, where developers publish and discover servers for specific use cases.\u003c/p\u003e\n","created_at":"2026-05-29T00:15:41.120Z","updated_at":"2026-07-04T00:15:03.131Z","topic_url":"https://awesome.ecosyste.ms/api/v1/topics/mcp-server","html_url":"https://awesome.ecosyste.ms/topics/mcp-server","projects_url":"https://awesome.ecosyste.ms/api/v1/projects?keyword=mcp-server","lists_url":"https://awesome.ecosyste.ms/api/v1/lists?topic=mcp-server"}