Can I control which parts of my repository are indexed?

Yes, Git Context supports configurable indexing behavior. You can define a `git_context.json` file within your repository to specify which folders to include or exclude, set a project title, and description for tailored context retrieval.

Does Git Context support different versions of documentation?

Absolutely. Git Context provides support for multiple repository versions, allowing you to retrieve documentation and context from specific tags or branches, ensuring your LLMs always have access to the relevant version of your codebase.

Git Context is a lightweight Model Context Protocol (MCP) server that provides Large Language Models (LLMs) with up-to-date documentation and context directly from your Git repositories, primarily focusing on GitLab.

What are the primary use cases for Git Context?

Its main use cases include providing LLMs with accurate, real-time documentation for answering developer questions, facilitating code understanding, assisting with project onboarding, and enabling AI-powered search across internal knowledge bases stored in Git repositories.

How does Git Context integrate with LLMs and AI tools?

It integrates seamlessly via the Model Context Protocol (MCP). This allows it to work directly with AI tools and clients like Kiro CLI, GitHub Copilot, and Claude Code, enabling your LLMs to access and utilize repository documentation in real-time.

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Git Context

Name: Git Context
Author: osick

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Provides LLMs with up-to-date documentation and context from Git repositories, primarily GitLab.

概要

Git Context is a lightweight Model Context Protocol (MCP) server designed to enrich Large Language Models (LLMs) with precise, up-to-date documentation and context from Git repositories. It primarily targets GitLab, allowing AI tools to access structured information by searching repositories, retrieving specific documentation with topic filtering, and supporting multiple versions (tags/branches). By indexing repositories and storing data locally in SQLite, it enables fast and relevant responses for LLMs interacting with codebases and internal knowledge, integrating seamlessly with clients like GitHub Copilot and Kiro CLI.

主な機能

Fast local access to indexed data using SQLite storage
Search and retrieve documentation from GitLab repositories with topic filtering
Seamless LLM integration via the Model Context Protocol (MCP)
Configurable indexing behavior via `git_context.json` within repositories
Support for multiple repository versions (tags/branches)
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ユースケース

Provide current documentation and code context from GitLab repositories to LLMs for enhanced understanding.
Index entire GitLab groups or specific repositories to create a searchable knowledge base for AI tools.
Enable AI assistants (e.g., GitHub Copilot, Claude Code) to search, fuzzy search, and retrieve project documentation.