xkcdai MCP

Find xkcd comics semantically relevant to the current conversation. Call this whenever an xkcd comic might enrich the conversation — when the discussion lands on a topic xkcd is famous for skewering (programming, science, statistics, relationships, the absurdity of standards, etc.). Pass a concise description of the current topic or theme as `context` (a phrase or sentence works better than a whole transcript), e.g. "spending hours automating a task that was faster to do by hand" or "code finally compiling". IMPORTANT — deciding whether to mention one. xkcd has a comic for almost every topic, so this tool will nearly always return something. A result being returned does NOT mean you should bring it up. Use the `score` as a signal and apply your own judgment about conversational fit: score >= 0.75 strong match — usually worth mentioning if it fits the moment 0.66 - 0.75 plausible — mention only if it genuinely lands < 0.66 weak/tangential — almost always better to stay silent Only one comic, at most, per topic — and only when it actually adds something. When you do share one, cite it by number and title with its `url`, and quote the `alt` (mouseover) text — it's half the joke. Returns a dict with a `results` list (num, title, score, url, image, alt, explain_url) and a `count`. An empty list means nothing cleared the floor.

{
  "type": "object",
  "title": "find_xkcdArguments",
  "required": [
    "context"
  ],
  "properties": {
    "context": {
      "type": "string",
      "title": "Context"
    },
    "min_score": {
      "type": "number",
      "title": "Min Score",
      "default": 0.62
    },
    "max_results": {
      "type": "integer",
      "title": "Max Results",
      "default": 3
    }
  }
}