LLMs Txt MCP — Documentation skill for Claude Code

llms-txt-mcp

[](https://pypi.org/project/llms-txt-mcp/) [](https://www.python.org/downloads/) [](https://github.com/modelcontextprotocol/python-sdk) [](LICENSE)

Fast, surgical access to big docs in Claude Code via llms.txt. Search first, fetch only what matters.

Why this exists

• Hitting token limits and timeouts on huge llms.txt files hurts flow and drowns context.
• This MCP keeps responses tiny and relevant. No dumps, no noise — just the parts you asked for.

Quick start (Claude Desktop)

Add to `~/Library/Application Support/Claude/claude_desktop_config.json` or `.mcp.json` in your project:

{
  "mcpServers": {
    "llms-txt-mcp": {
      "command": "uvx",
      "args": [
        "llms-txt-mcp",
        "https://ai-sdk.dev/llms.txt",
        "https://nextjs.org/docs/llms.txt",
        "https://orm.drizzle.team/llms.txt"
      ]
    }
  }
}

Now Claude Code|Desktop can instantly search and retrieve exactly what it needs from those docs.

How it works

URL → Parse YAML/Markdown → Embed → Search → Get Section

• Parses multiple llms.txt formats (YAML frontmatter + Markdown)
• Embeds sections and searches semantically
• Retrieves only the top matches with a byte cap (default: 75KB)

Features

• Instant startup with lazy loading and background indexing
• Search-first; no full-document dumps
• Byte-capped responses to protect context windows
• Human-readable IDs (e.g. https://ai-sdk.dev/llms.txt#rag-agent)

Source resolution and crawling behavior

• Always checks for llms-full.txt first, even when llms.txt is configured. If present, it uses llms-full.txt for richer structure.
• For a plain llms.txt that only lists links, it indexes those links i