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MCP Repo2llm Server

@crisschan

Repository

Basic information

Category

Other

License

Apache-2.0

Transports

stdio

Author

crisschan

Submitted by

Criss Chen

About MCP Repo2llm Server

No overview available yet

#mcp-repo2llm#code-transformation#ai-integration

MCP Repo2llm Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "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"
      }
    }
  }
}

MCP Repo2llm Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Mcp Repo2llm Server?

Mcp Repo2llm Server is an MCP server that transforms code repositories into LLM-friendly formats, bridging the gap between traditional codebases and AI language models. It is based on the RepoToTextForLLMs project.

How to use Mcp Repo2llm Server?

Install and configure the server via uv with the required environment variables GITHUB_TOKEN and GITLAB_TOKEN. Invoke the tools get_github_repo, get_gitlab_repo, or get_local_repo with a repository URL and optional branch (default master) to receive the repository contents as formatted text.

Key features of Mcp Repo2llm Server

  • Smart Repository Scanning: processes entire codebases while preserving structure
  • Context Preservation: maintains relationships and contextual information between code files
  • Multi-language Support: language-specific optimizations for various programming languages
  • Metadata Enhancement: enriches code with relevant metadata for better LLM understanding
  • Efficient Processing: optimized for large repositories with minimal resource usage

Use cases of Mcp Repo2llm Server

  • Feed entire codebases to LLMs for analysis or code generation while retaining structural context
  • Convert GitLab, GitHub, or local repositories into a single text document for AI tool consumption
  • Standardize repository documentation and metadata for consistent LLM processing across projects
  • Enable AI-powered code review or refactoring by providing clean, structured repository text

Frequently asked questions

1

What tokens are required to use the server?

The server requires `GITHUB_TOKEN` and `GITLAB_TOKEN` environment variables to authenticate with GitHub and GitLab respectively.

2

Which repository hosts are supported?

The server supports GitHub (`get_github_repo`), GitLab (`get_gitlab_repo`), and local file system repositories (`get_local_repo`).

3

What is the default branch used when fetching a repository?

The default branch is `master` for both GitHub and GitLab tools, but you may specify a different branch via the `branch` parameter.

4

Does the server have any runtime dependencies?

Yes, the server requires `uv` and the `mcp[cli]` package. It is run as a Python script (`mcp-repo2llm-server.py`) based on the RepoToTextForLLMs library.

5

What does the output contain?

The tools return all project information and structure from the repository as a single formatted text string, suitable for input to LLMs.

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