mcp-repo2llm
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MCP-Repo2LLM is an MCP server that transforms code repositories into formats optimized for Large Language Models (LLMs). It enhances code analysis and generation by improving handling of metadata, context preservation, and multi-language support, bridging traditional code with modern AI tools.
Overview
- MCP-Repo2LLM is a tool that bridges the gap between traditional codebases and AI language models by transforming code repositories into LLM-readable formats.
- Motivation: To optimize codebases for AI processing and improve code analysis and generation by preserving context and handling metadata efficiently.
- Key Features: Smart scanning of repositories, context preservation, multi-language support, metadata enhancement, and processing efficiency.
Problem Solved
- Address difficulties in LLM processing of large codebases.
- Overcome context loss and structural issues when using AI for code analysis.
- Optimize handling of metadata and documentation across different languages.
Key Features
- Smart Repository Scanning.
- Context Preservation.
- Multi-language Support.
- Metadata Enhancement.
- Efficient Processing.