MCP Server Playground

Example Use Cases

• 1

  Connect with MCP-compatible servers for AI model interactions.

• 2

  Access and utilize defined tools, resources, and prompts via MCP servers.

• 3

  A structured backend environment to experiment with MCP server implementations.

Description

This repository provides a hands-on environment to understand and build MCP servers from the ground up using modern backend tools like FastAPI and Python. It focuses on setting up MCP-compatible servers, handling requests, and exposing tools and resources consumable by AI models. The project emphasizes learning by building, making it ideal for backend experimentation and understanding MCP server architecture.