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MCP Playground

@skolte

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基本情報

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その他

トランスポート

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作者

skolte

MCP Playground について

Core MCP Server with React Frontend and Multi-Agent Support

#mcp#multi-agent#server

MCP Playground の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

MCP Playground のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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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