letterboxd-mcp

An MCP server that feeds a Letterboxd user's viewing history to LLMs, so the model can read what you watched and suggest new movies you'll actually like.

Why RSS?

Letterboxd has no official public API. The per-user RSS feed (https://letterboxd.com/{username}/rss/) is the only sanctioned machine-readable surface, so this server parses it. No scraping, no login.

Note: the feed only holds the ~50 most recent diary entries.

Tools

Tool	Returns
get_diary(username)	Recent entries: film, year, rating, liked, rewatch, watched date, review text, TMDB id
get_reviews(username)	Same, but only entries with written review text

What it needs

Films must be in your diary for the feed to pick them up. Star-rating a film on its page doesn't count; it never reaches the feed. Use the Log/Review flow instead and set your rating there. Review text optional.

Written reviews still help, even a single line. A rating tells the model what you watched. A review tells it why you liked or hated it, and that second part is what makes its suggestions any good.

Setup

Requires uv.

uv sync
uv run python test_server.py   # self-check against bundled fixtures
uv run python smoke.py <your_username>  # live end-to-end check

MCP client registration

{
  "mcpServers": {
    "letterboxd": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/letterboxd-mcp", "python", "server.py"]
    }
  }
}