MCP Playground
@skolte
About MCP Playground
Core MCP Server with React Frontend and Multi-Agent Support
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
—
Basic information
More Other MCP servers
XcodeBuildMCP
cameroncookeA Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.
🪟 Windows-MCP
CursorTouchMCP Server for Computer Use in Windows
Activepieces
activepiecesAI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
MCP Go 🚀
mark3labsA Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
ICSS
chokcoco不止于 CSS
Comments