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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 28 public repositories matching this topic...

AI-powered project management framework based on an opinionated view on effective prompts and a highly modular approach to building effective agents, workflows, templates, prompts and context documents.

  • Updated Jan 12, 2026
  • Shell

🤖 Claude Code定制化研发流程系统 - 基于Spec-Driven和Test-Driven的AI智能体团队协作框架。构建AI优先的软件开发新范式,让AI智能体团队替代传统人类开发团队。

  • Updated Aug 3, 2025
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dotforge

🇫🇷 Complete French learning guide for Claude Code - Master AI-powered development with comprehensive docs, cheatsheets, and practical examples. Covers Memory, Commands, MCP servers, Plugins, and Sub-Agents.

  • Updated Nov 21, 2025
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