About
Repomix MCP Server enables AI assistants to pack and analyze codebases into consolidated, LLM-friendly formats through a standardized interface. Key capabilities include: - Bundle repositories into AI-ready outputs (plain text, Markdown, JSON, or XML) optimized for context window limitations - Analyze code structure while respecting .gitignore patterns and configurable exclusion rules - Filter sensitive information with built-in security checks before packaging code for external AI processing - Integrate with MCP-compatible clients like Claude, Cursor, and VS Code to provide comprehensive codebase context for analysis and refactoring
README
Special thanks to:
Warp, built for coding with multiple AI agents
Available for MacOS, Linux, & WindowsTower, the most powerful Git client for Mac and Windows
Pack your codebase into AI-friendly formats
Use Repomix online! 👉 repomix.com
Need discussion? Join us on Discord! Share your experience and tips Stay updated on new features Get help with configuration and usage
[](https://www.npmjs.com/package/repomix) [](https://www.npmjs.com/package/repomix) [](https://github.com/yamadashy/repomix/actions?query=workflow%3A"ci") [](https://codecov.io/github/yamadashy/repomix) [](https://github.com/sponsors/yamadashy) [](https://discord.gg/wNYzTwZFku)
[](https://deepwiki.com/yamadashy/repomix)
📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. It is perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.
Please consider sponsoring me.
[](https://github.com/sponsors/yamadashy)
[](https://github.com/sponsors/yamadashy)
🏆 Open Source Awards Nomination
We're honored! Repomix has been nominated for the Powered by AI category at the JSNation Open Source Awards 2025.
This wouldn't have been possible without all of you using and supporting Repomix. Thank you!
🎉 New: Repomix Website & Discord Community!
We look forward to seeing you there!
🌟 Features
Related MCP Servers
AI Research Assistant
hamid-vakilzadeh
AI Research Assistant provides comprehensive access to millions of academic papers through the Semantic Scholar and arXiv databases. This MCP server enables AI coding assistants to perform intelligent literature searches, citation network analysis, and paper content extraction without requiring an API key. Key features include: - Advanced paper search with multi-filter support by year ranges, citation thresholds, field of study, and publication type - Title matching with confidence scoring for finding specific papers - Batch operations supporting up to 500 papers per request - Citation analysis and network exploration for understanding research relationships - Full-text PDF extraction from arXiv and Wiley open-access content (Wiley TDM token required for institutional access) - Rate limits of 100 requests per 5 minutes with options to request higher limits through Semantic Scholar
Linkup
LinkupPlatform
Linkup is a real-time web search and content extraction service that enables AI assistants to search the web and retrieve information from trusted sources. It provides source-backed answers with citations, making it ideal for fact-checking, news gathering, and research tasks. Key features of Linkup: - Real-time web search using natural language queries to find current information, news, and data - Page fetching to extract and read content from any webpage URL - Search depth modes: Standard for direct-answer queries and Deep for complex research across multiple sources - Source-backed results with citations and context from relevant, trustworthy websites - JavaScript rendering support for accessing dynamic content on JavaScript-heavy pages
Math-MCP
EthanHenrickson
Math-MCP is a computation server that enables Large Language Models (LLMs) to perform accurate numerical calculations through the Model Context Protocol. It provides precise mathematical operations via a simple API to overcome LLM limitations in arithmetic and statistical reasoning. Key features of Math-MCP: - Basic arithmetic operations: addition, subtraction, multiplication, division, modulo, and bulk summation - Statistical analysis functions: mean, median, mode, minimum, and maximum calculations - Rounding utilities: floor, ceiling, and nearest integer rounding - Trigonometric functions: sine, cosine, tangent, and their inverses with degrees and radians conversion support