:robot: MCP Server :computer:

An MCP (Multi-Cloud Platform) server that provides a library of reusable agent instructions and scripts to a generative AI model.

:book: Documentation

For comprehensive documentation, please visit the MkDocs site.

Related MCP server: openai-agents-sdk-mcp

:mag: TL;DR

The MCP Server uses FastAPI to expose a set of tools that can be consumed by a compatible AI model (like Google's Gemini). It provides a library of standardized instructions (AGENTS.md files) and utility scripts (.sh files) to enable the AI to perform complex, context-aware tasks.

To bootstrap the project

task bootstrap

To run the server locally:

task run

Add to gemini-cli settings:

{
  "mcpServers": {
    "sharedAgents": {
      "httpUrl": "http://<ip-address>:8080"
    }
  }
}

:mag: Overview

This server uses FastAPI to expose a set of tools that can be consumed by a compatible AI model (like Google's Gemini). The primary purpose is to provide the AI with a library of standardized instructions (AGENTS.md files) and utility scripts (.sh files). This allows the AI to perform complex, context-aware tasks consistently by drawing from a central, version-controlled library.

The core components are:

• app/server.py: The FastAPI application that serves the tools.

• agents-library/: The central repository for agent instructions and scripts.

:balance_scale: License

This project is licensed under the Apache License 2.0.

:pencil: Author

This project was started in 2025 by Nicholas Wilde.