ModelContextProtocol

by craigcerto · Python · ★ 0

Model Context Protocol Implementation for a Central AI Platform with Hub/Spoke Application Clients

Install

pip install git+https://github.com/craigcerto/ModelContextProtocol.git

Auto-generated from the repo's primary language — check the repo's own README for its exact install instructions.

Claude Desktop config

A starting point for your claude_desktop_config.json (auto-generated — the repo's README may specify a published package name or required env vars):

{
  "mcpServers": {
    "modelcontextprotocol": {
      "command": "uvx",
      "args": [
        "git+https://github.com/craigcerto/ModelContextProtocol.git"
      ]
    }
  }
}

From the README

This README provides a comprehensive overview of implementing the Model Context Protocol in an enterprise AI architecture with a central AI platform and distributed applications. The Model Context Protocol (MCP) enables seamless communication between: 1. A **Central AI Platform** that manages model invocations (e.g., Claude 3.5 Sonnet via AWS Bedrock) 2. **Application Services** that integrate AI capabilities while maintaining control of their data and business logic The Central AI Platform serves as the hub for all model invocations in your enterprise. Applications interact with the Centra…

Read full README on GitHub →