git-glimpse
A token-budgeted Git MCP server and CLI that provides compact status, diff, and log summaries for AI agents to conserve context.
README
<div align="center">
git-glimpse
Token-budgeted Git status, diffs, and logs for AI agents via CLI and MCP.
<img src="demo.gif" alt="Demo" width="700" />
</div>
🎯 Why?
AI coding agents constantly need Git context, but raw git diff/log/status output can consume tens of thousands of tokens and overflow agent context windows. Existing Git MCP servers usually expose raw commands or full output; there is no small read-only adapter focused specifically on budgeted, agent-safe repository context.
Target audience: Developers building AI coding agents, MCP servers, Claude Code/Cursor workflows, and CLI power users who want compact Git context without flooding LLM context windows.
✨ Features
- ✨ Token-budgeted Git status output with branch, changed files, and untracked summary
- ✨ Token-budgeted Git diff output that truncates huge sections and lists omitted files
- ✨ Token-budgeted Git log output with shortstat
- ✨ Read-only MCP stdio server exposing glimpse_status, glimpse_diff, and glimpse_log tools
- ✨ Single-file Python CLI usable directly from shell or scripts
🚀 Quick Start
# Install
pip install git-glimpse
# Run
git-glimpse --help
📦 Installation
From Source
git clone https://github.com/YOUR_USERNAME/git-glimpse.git
cd git-glimpse
# Create virtual environment
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
# Install in development mode
pip install -e ".[dev]"
# Run tests
pytest -v
🎬 Demo
The GIF above was recorded using Charm VHS:
vhs < demo.tape
📖 Usage
# Show help
git-glimpse --help
# Common usage examples
git-glimpse --example
🏗️ Architecture
graph LR
A[Input] --> B[Core Engine]
B --> C[Output]
B --> D[Plugins]
D --> E[Extensions]
🤝 Contributing
Contributions are welcome! Please:
- Fork the repo
- Create a feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
📄 License
MIT © 2026 — See LICENSE for details.
<div align="center">
If this project helped you, please ⭐ star it!
</div>
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.