xkcd Comic Suggester
Suggests a relevant xkcd comic during a conversation, via semantic search over every comic.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"xkcdai": {
"url": "https://xkcdai.onrender.com/mcp"
}
}
}Remote endpoints
https://xkcdai.onrender.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (1)
🟢find_xkcd(context, max_results, min_score)
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.
Input Schema
{
"type": "object",
"properties": {
"context": {
"title": "Context",
"type": "string"
},
"max_results": {
"default": 3,
"title": "Max Results",
"type": "integer"
},
"min_score": {
"default": 0.62,
"title": "Min Score",
"type": "number"
}
},
"required": [
"context"
],
"title": "find_xkcdArguments"
}Community
Evidence