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mcp-servers

MCP 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.

MCP 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.

The MCP server ecosystem includes registries such as the official MCP Registry, Glama, and Smithery, where developers publish and discover servers for specific use cases.

Here are 861 public repositories matching this topic...

The most comprehensive Claude Code guide: agentic workflows, hooks, skills, MCP servers, quizzes, and production-ready templates. 430K+ lines.

  • Updated Jul 19, 2026
  • Python

A practical Claude Code guide with clear mental models and copy-paste examples — setup, prompt engineering, slash commands, skills, hooks, subagents, agent teams, and MCP servers. Beginner path to power-user depth. Featured in Awesome Claude Code.

  • Updated Jul 22, 2026
  • Python
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