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.
@AgentMCP
基本信息
A directory of AI Agents and MCP Orchestration open source tools
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。
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.
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.
Agent MCP focuses specifically on AI agents and MCP orchestration, whereas Hugging Face primarily covers LLMs and datasets.
The project is built with Vite, TypeScript, React, shadcn-ui, and Tailwind CSS.
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.
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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