What Python version is required?
Python 3.7 or higher is required.
@Rybens92
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"docs-to-llm": {
"command": "python",
"args": [
"/your/path/to/this/mcp/server/src/server.py"
],
"disabled": false
}
}
}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.
Docs To Llm is an MCP server that processes technical documentation into llm.txt format. It generates two files — a short version with titles and links, and a full version with complete content — for use as context in LLM environments like Cursor, Windsurf, Cline, or Roo Code.
Clone the repository and install dependencies with uv pip install -r requirements.txt or pip install -r requirements.txt. Configure the server in your MCP settings (e.g., mcp_settings.json) with the command python and the path to src/server.py. Invoke the process_documentation tool to crawl a documentation URL, providing the URL, library name, and output directory. The server returns paths to the generated llm_{library_name}_short.txt and llm_{library_name}_full.txt files.
Python 3.7 or higher is required.
Use `uv pip install -r requirements.txt` (recommended) or `pip install -r requirements.txt`.
You specify the output directory via the `txt_save_path` parameter in the `process_documentation` tool call. The server creates two files there.
Add a `docs-to-llm` entry to your `mcp_settings.json` with command `python` and args pointing to the full path of `src/server.py`.
The server provides one tool: `process_documentation`, which accepts a URL, library name, and save path, and returns success status and file paths.
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