How do I install repo-to-txt-mcp?
Prerequisites: Python 3.8+, Node.js 14+, Git. See the Installation Guide for direct, Docker, or GitHub Container Registry options.
@chromewillow
Basic information
MCP server for analyzing and converting Git repositories to text files for LLM context
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"repo-to-txt-mcp": {
"command": "node",
"args": [
"smithery-wrapper.js"
]
}
}
}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.
repo-to-txt-mcp is an MCP server that analyzes and converts Git repositories (remote or local) into structured text files for LLM context. It is designed for developers who want to provide repository context to large language models like GPT-4, and integrates with Cursor's MCP system.
Install Python 3.8+, Node.js 14+, and Git, then install dependencies with pip install -r requirements.txt and npm install. Start the server by running node smithery-wrapper.js (available at http://localhost:8000). Use the POST /analyze endpoint to submit analysis requests with JSON payloads specifying a source URL or local path, file filters, and token limits.
Prerequisites: Python 3.8+, Node.js 14+, Git. See the Installation Guide for direct, Docker, or GitHub Container Registry options.
The server is designed to integrate with Cursor to provide repository context during conversations. Refer to the Cursor Integration Guide in the repository for setup instructions.
The server provides a POST /analyze endpoint that accepts a JSON payload with a source (URL or local path), optional include/exclude file extension filters, and a return_file boolean.
Yes, a Dockerfile is included. Build and run with `docker build -t repo-to-txt-mcp .` and `docker run -p 8000:8000 repo-to-txt-mcp`.
Yes, the server includes token management to limit output size by token count (not detailed further in the README).
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