What Python version is required?
Python 3.7 or higher is required.
@Rybens92
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"docs-to-llm": {
"command": "python",
"args": [
"/your/path/to/this/mcp/server/src/server.py"
],
"disabled": false
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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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