About Mcp Repo2llm Server
Mcp Repo2llm Server converts GitHub, GitLab, and local repositories into structured, LLM-readable text. It is intended for AI-assisted code analysis and generation, preserving repository context across multiple languages.
Key features
- 01Scans repository contents
- 02Preserves code structure and context
- 03Supports multiple programming languages
- 04Adds metadata for LLM processing
- 05Processes GitHub, GitLab, and local repositories
Use cases
- 01Preparing a repository for LLM code analysis
- 02Providing codebase context for AI generation
MCP support
The MCP server exposes tools to retrieve repository content as text from GitHub, GitLab, or a local path.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP-Repo2LLM
Overview
mcp-repo2llm is a MCP server that transforms code repositories into LLM-friendly formats. A powerful tool that transforms code repositories into LLM-friendly formats, bridging the gap between traditional code bases and modern AI language models. This repo is based on RepoToTextForLLMs, which provides core functionality for converting repositories into LLM-readable formats.
Motivation
As AI and Large Language Models (LLMs) become increasingly important in software development, there's a growing need to effectively communicate our codebases to these models. Traditional code repositories aren't optimized for LLM processing, which can lead to suboptimal results when using AI tools for code analysis and generation.
Problem Solved
This project addresses several critical challenges:
- Difficulty in processing large codebases with LLMs
- Loss of context and structure when feeding code to AI models
- Inefficient handling of repository metadata and documentation
- Inconsistent formatting across different programming languages
Key Features
- Smart Repository Scanning: Intelligently processes entire codebases while maintaining structural integrity
- Context Preservation: Maintains important contextual information and relationships between code files
- Multi-language Support: Handles various programming languages with language-specific optimizations
- Metadata Enhancement: Enriches code with relevant metadata for better LLM understanding
- Efficient Processing: Optimized for handling large repositories with minimal resource usage
Installation
To install mcp-repo2llm by uv:
"mcp-repo2llm-server": {
"command": "uv",
"args": [
"run",
"--with",
"mcp[cli]",
"--with-editable",
"/mcp-repo2llm",
"mcp",
"run",
"/mcp-repo2llm/mcp-repo2llm-server.py"
],
"env":{
"GITHUB_TOKEN":"your-github-token",
"GITLAB_TOKEN":"your-gitlab-token"
}
}
GITHUB_TOKEN: your github token GITLAB_TOKEN: your gitlab token
Tools
get_gitlab_repo
- Process and return the code from a GitLab repository branch as text
- Input:
- repo_url (string): the repository URL from gitlab
- branch (string): The branch name,default is master
- Returns(string): The project all information and struction from the repository as text
get_github_repo
- Process and return the code from a Github repository branch as text
- Input:
- repo_url (string): the repository URL from github
- branch (string): The branch name,default is master
- Returns(string): The project all information and struction from the repository as text
get_local_repo
- Process and return the code from a GitLab repository branch as text
- Input:
- repo_url (string): the repository path
- Returns(string): The project all information and struction from the repository as text
Comments
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