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Welcome to Agent MCP Server

@AgentMCP

代码仓库主页

基本信息

分类

AI 与智能体

许可证

MIT

传输方式

stdio

作者

AgentMCP

关于 Welcome to Agent MCP Server

A directory of AI Agents and MCP Orchestration open source tools

#agent#engineering#ai#open#mcp#llm#mcp-server

Welcome to Agent MCP Server 配置

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该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Welcome to Agent MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Agent MCP?

Agent MCP is an open source project directory that focuses solely on AI agents and MCP orchestration, distinguishing itself from platforms like Hugging Face which focus on LLMs and datasets. It is available at www.agentmcp.ai.

How to use Agent MCP?

Browse and search the directory directly at www.agentmcp.ai. To edit the code locally, clone the repository, run npm i to install dependencies, and start the development server with npm run dev. A Firebase project with Google Authentication and Firestore must be configured for user authentication and search history features.

Key features of Agent MCP

  • Browse and search AI Agent and MCP repositories
  • Bulk import repositories from GitHub
  • User authentication with Google
  • Save and re-import previous search history
  • Supports CursorAI, Windsurf AI, and Trey AI

Use cases of Agent MCP

  • Discover and explore AI agent projects and MCP orchestration tools
  • Maintain a personalized search history for repeated reference
  • Bulk import GitHub repositories for centralized organization
  • Compare and find agent-focused projects distinct from LLM datasets

常见问题

1

How does Agent MCP differ from Hugging Face?

Agent MCP focuses specifically on AI agents and MCP orchestration, whereas Hugging Face primarily covers LLMs and datasets.

2

What technologies are used to build Agent MCP?

The project is built with Vite, TypeScript, React, shadcn-ui, and Tailwind CSS.

3

How do I set up Firebase authentication?

Create a Firebase project, enable Google Authentication, create a Firestore database, obtain your Firebase configuration, copy the `.env.example` file to `.env.local`, and fill in the configuration values.

4

What are the requirements for local development?

You need Node.js and npm installed. Clone the repo, run `npm i`, then `npm run dev` to start the development server.

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