Aira MCP Server

The aira‑mcp-server is a Model Context Protocol (MCP) service that bridges Git workflows with AI assistants. It solves the recurring pain point of generating accurate, conventional commit messages and managing Gitflow branches directly from a conversational interface. Developers can ask an AI to inspect the current repository state, craft a properly formatted commit message, and execute Git commands—all without leaving their IDE or chat window. This streamlines the development loop, reduces context switching, and enforces consistent commit practices across teams.

At its core, the server exposes a small yet powerful set of tools that mirror common Git operations. The get_status tool returns a structured snapshot of staged, unstaged, and untracked files. create_commit accepts a list of files and an optional message fragment, then generates a conventional‑commit‑style message (e.g., ) and commits the changes. Branch‑centric tools—create_branch, merge_branch, list_branches—provide full Gitflow support, allowing developers to create feature or release branches, merge them according to the workflow, and enumerate all active branches. The init_gitflow tool sets up the repository for Gitflow, ensuring that all subsequent branch operations follow the standard branching model.

The value proposition is threefold. First, it automates routine Git tasks that are often error‑prone when typed manually, reducing merge conflicts and ensuring adherence to commit conventions. Second, it integrates seamlessly into existing MCP‑enabled AI workflows: a Claude or other assistant can invoke these tools, receive structured responses, and even trigger subsequent actions in a single conversation. Third, the server is written in TypeScript, making it easy to extend or embed into larger tooling stacks without sacrificing type safety.

Typical use cases include:

• CI/CD pipelines where an AI assistant reviews code changes, generates commit messages, and pushes branches automatically.
• Pair programming sessions where the assistant suggests the next commit message based on code diffs.
• Onboarding for new team members, who can learn Gitflow conventions by interacting with the server through chat.
• Code review automation, where the assistant proposes standardized commit messages and ensures branches are properly merged before deployment.

Overall, the aira‑mcp-server offers developers a lightweight, extensible MCP bridge that turns Git operations into conversational commands. By embedding this server in their toolchain, teams can maintain disciplined commit histories, accelerate feature delivery, and leverage AI to handle the repetitive parts of version control.