MCP Playground
@skolte
About MCP Playground
Core MCP Server with React Frontend and Multi-Agent Support
Config
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RepositoryTools
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Overview
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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Basic information
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