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MCP Playground

@skolte

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skolte

关于 MCP Playground

Core MCP Server with React Frontend and Multi-Agent Support

#mcp#multi-agent#server

MCP Playground 配置

暂无标准配置

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

MCP Playground 工具

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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 MCP Playground?

This project demonstrates a hands-on implementation of a Model Context Protocol (MCP) server integrated with AI agents. It includes a FastAPI-based backend and a placeholder for a React frontend dashboard.

How to use MCP Playground?

Start the backend server by running cd backend, pip install -r requirements.txt, and uvicorn app.main:app --reload. Then access the context API via POST /get_context with JSON { "agent_id": "agent1" } and POST /update_context with JSON { "agent_id": "agent1", "context": {"key": "value"} }.

Key features of MCP Playground

  • Demonstrates MCP server implementation with AI agents
  • Backend built with FastAPI
  • API endpoints for getting and updating context
  • Placeholder for React frontend dashboard

Use cases of MCP Playground

  • Learning how to implement an MCP server integrated with AI agents
  • Testing context retrieval and updates for AI agents

FAQ from MCP Playground

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