MCP Playground
@skolte
About MCP Playground
Core MCP Server with React Frontend and Multi-Agent Support
Basic information
Config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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
—
More Other MCP servers
Production-ready MCP integrations for AI applications
Klavis-AIKlavis AI: MCP integration platforms that let AI agents use tools reliably at any scale
XcodeBuildMCP
cameroncookeA Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.
MCP Go 🚀
mark3labsA Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
Inbox Zero AI
elie222The world's best AI personal assistant for email. Open source app to help you reach inbox zero fast.
ghidraMCP
LaurieWiredMCP Server for Ghidra
Comments