MCP Playground

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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