🤖 MCP Server 💻
An MCP (Multi-Cloud Platform) server that provides a library of reusable agent instructions and scripts to a generative AI model.
[!WARNING] This project is in a development stage. Features and configurations are subject to change.
:book: Documentation
For comprehensive documentation, please visit the MkDocs site.
🔍 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"
}
}
}
🔍 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.
⚖ License
This project is licensed under the Apache License 2.0.
:pencil: Author
This project was started in 2025 by Nicholas Wilde.