Ghcontext

ghcontext is a tool that connects GitHub with large language models. It provides real-time repository information, including API documentation, README content, and code structure, for AI assistants through the Model Context Protocol (MCP), ensuring that the information obtained by AI is always up-to-date.

Developer tools Version control #Real-time GitHub #AI assistant #MCP protocol #Code understanding Remote .TypeScript

rating : 2 points

downloads : 8

update time : 2025-04-28

What is ghcontext?

ghcontext is a bridge connecting GitHub and large language models. It provides real-time repository information access capabilities for AI assistants through the standardized Model Context Protocol (MCP). It solves the problem of AI assistants obtaining outdated repository information.

How to use ghcontext?

ghcontext can be installed globally via npm or run directly using npx. You need to provide a GitHub token for authentication. After starting, MCP-compatible LLMs can connect to the ghcontext server endpoint to obtain real-time repository information.

Applicable scenarios

When you need AI assistants to provide accurate answers based on the latest GitHub repository information, such as API documentation queries and code structure analysis scenarios.

Main features

API documentation extractionAutomatically identify and extract API documentation from README and dedicated documentation files

Repository structure analysisProvide an organizational structure diagram of the code repository

README content retrievalDirectly obtain the latest documentation content from GitHub

File content searchFind and extract specific files or code snippets

Repository searchDiscover matching repositories based on specific conditions

Advantages and limitations

Advantages

Provide accurate and real-time repository information

Help AI better understand the project architecture and design principles

Seamlessly integrate with any MCP-compatible model

Intelligent caching reduces API calls while keeping information fresh

Limitations

Requires a GitHub token for authentication

Requires corresponding access permissions for private repositories

Performance depends on the response speed of the GitHub API

How to use

Get a GitHub token

Create a personal access token in your GitHub settings and select the appropriate permission scope as needed

Run ghcontext

Choose an installation method and run ghcontext, providing the GitHub token

Connect the AI assistant

Connect an MCP-compatible LLM to the ghcontext server endpoint

Usage examples

Query API methodsGet the available methods for handling request interceptors in the axios library

Get private repository documentationView the latest documentation of an internal corporate private project

Frequently Asked Questions

What permissions does the GitHub token for ghcontext need?

Which AI models does ghcontext support?

How often is the information updated?

Related resources

GitHub personal access token creation

How to create a GitHub personal access token

Model Context Protocol specification

Official documentation of the MCP protocol

ghcontext GitHub repository

Project source code and issue tracking

🚀 GitHub Context: Infusing Vitality into Large Language Models (LLMs) with Real-time GitHub Information

"My GitHub repository was updated yesterday..." - Free your AI assistant from outdated information and keep it informed of the latest developments at all times.

ghcontext (GitHub Context Provider) serves as a bridge between GitHub and large language models, enabling AI assistants to access repository information in real-time through the standardized Model Context Protocol (MCP).

🚀 Quick Start

ghcontext (GitHub Context Provider) bridges the gap between GitHub and large language models, allowing AI assistants to access repository information in real-time via the standardized Model Context Protocol (MCP).

✨ Features

Why Choose ghcontext?

Accurate and Real-time Information: LLMs often have outdated knowledge of repositories. ghcontext enables your AI assistant to obtain the latest code and information on GitHub in real-time.
In-depth Understanding of Project Structure: No need to worry about the model's insufficient understanding of the project structure or the latest updates. ghcontext makes everything clear.
Synchronized Updates: Ensure that your AI assistant always stays in sync with the codebase and keeps abreast of the latest changes.

Key Features

MCP Server

Handles communication for the Model Context Protocol, ensuring efficient and accurate information transfer.

GitHub API Client

Manages interactions with the GitHub REST and GraphQL APIs to fetch the latest data in real-time.

Context Processor

Extracts and organizes relevant information, making the data easy to understand and use.

Cache System

Improves performance and reduces the burden on API calls.

Why is it Important?

Traditional AI assistants face the following challenges:

Lack of timely access to repository information.
Incomplete understanding of the project structure.
Difficulty in synchronizing with the latest code changes and updates.

ghcontext addresses these issues by directly connecting to the latest information on GitHub, making your AI assistant more accurate, efficient, and in sync with the codebase.

📦 Installation

Development Guide

Build the Project

pnpm run build

Run Tests

pnpm test

Code Inspection

pnpm run lint

Format Code

pnpm run format

Release Guide

If you are a maintainer of this project, follow these steps to release a new version:

Update the Version Number:

# Patch version (bug fixes)
npm version patch

# Minor version (new features, no major changes)
npm version minor

# Major version (major updates, may have breaking changes)
npm version major

Publish to npm:
```
npm publish
```
Push Tags to GitHub:
```
git push --follow-tags
```