repo-to-text-mcp-server
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The repo-to-text MCP Server is a powerful tool that bridges codebases with LLMs, offering AI-powered analysis and task generation.
The repo-to-text MCP Server is designed to transform entire code repositories into a format that is easily digestible by large language models (LLMs). It leverages AI to analyze codebases, intelligently filter content, and generate implementation tasks using Gemini-powered directives. This server supports multiple output formats, including XML, Shotgun, and Markdown, making it versatile for various use cases. It is particularly optimized for Gemini 2.5 Pro, utilizing its massive 2 million token context window to handle large codebases efficiently. The server also integrates seamlessly with IDEs like Cursor, Windsurf, and Claude Desktop, providing a complete workflow from analysis to implementation. With features like smart chunking, token estimation, and patch application, it ensures that developers can maximize the potential of LLMs in their software development processes.
Features
- AI-Powered Analysis: Provides intelligent suggestions for codebase exclusions.
- Multiple Output Formats: Supports XML, Shotgun, and Markdown for versatile use.
- Token Estimation: Offers multi-provider support to estimate context usage.
- Smart Chunking: Automatically splits large repositories for model limits.
- Patch Application: Safely applies LLM responses back to the codebase.
Tools
analyze_project
Comprehensive project analysis for understanding your codebase.
generate_repo_context
Main conversion with smart filtering for creating LLM prompts.
estimate_tokens
Multi-provider token counting for context planning.
apply_patch
Apply LLM responses to codebase, completing the workflow.