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: 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.
: 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
To run the server locally:
Add to gemini-cli
settings:
: 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.
: Author
This project was started in 2025 by Nicholas Wilde.
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Enables access to agent instruction files and prompts for AI development workflows. Provides tools to retrieve and list development rules, security checks, and common prompts from an agents library through MCP protocol.
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