# Git Operations - MCP Tool Specification

This document outlines the specification for tools within the Git Operations module that are intended to be integrated with the Model Context Protocol (MCP).

Currently, the Git Operations module does not expose any functionalities as MCP tools.

Its primary purpose is to define project-wide Git practices (branching, commits, PRs) and potentially provide Git automation scripts for developers or CI/CD. These are typically invoked directly, not by an LLM or AI agent via MCP.

If, in the future, specific Git operations are identified as beneficial to be exposed as MCP tools (e.g., a tool to get current branch status, or list recent commits in a structured way for an agent), this document will be updated to define their specifications.

For now, this specification is N/A (Not Applicable). 
## Navigation Links

- **Parent**: [Project Overview](../readme.md)
- **Module Index**: [All Agents](../../AGENTS.md)
- **Documentation**: [Reference Guides](../../README.md)
- **Home**: [Root README](../../../README.md)

## Detailed Architecture and Implementation



### Design Principles
1.  **Strict Modularity**: Each component is isolated and communicates via well-defined APIs.
2.  **Performance Optimization**: Implementation leverages lazy loading and intelligent caching to minimize resource overhead.
3.  **Error Resilience**: Robust exception handling ensures system stability even under unexpected conditions.
4.  **Extensibility**: The architecture is designed to accommodate future enhancements without breaking existing contracts.

### Technical Implementation
The codebase utilizes modern Python features (version 3.10+) to provide a clean, type-safe API. Interaction patterns are documented in the corresponding `AGENTS.md` and `SPEC.md` files, ensuring that both human developers and automated agents can effectively utilize these capabilities.

## Detailed Architecture and Implementation



### Design Principles
1.  **Strict Modularity**: Each component is isolated and communicates via well-defined APIs.
2.  **Performance Optimization**: Implementation leverages lazy loading and intelligent caching to minimize resource overhead.
3.  **Error Resilience**: Robust exception handling ensures system stability even under unexpected conditions.
4.  **Extensibility**: The architecture is designed to accommodate future enhancements without breaking existing contracts.

### Technical Implementation
The codebase utilizes modern Python features (version 3.10+) to provide a clean, type-safe API. Interaction patterns are documented in the corresponding `AGENTS.md` and `SPEC.md` files, ensuring that both human developers and automated agents can effectively utilize these capabilities.
