ZBS Index What actually exists in applied AI, with the source next to it

mcp server

xkcd Comic Suggester

Suggests a relevant xkcd comic during a conversation, via semantic search over every comic.

Description as published by the maintainer. Source

  • version 0.1.0
  • active
  • retrieval

active — Registry entry last updated 2026-07-12. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.

What this server can do

1 function, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

find_xkcd(context, min_score, max_results)
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. Required: context.

Last successful function declaration observed on . Source: https://xkcdai.onrender.com/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://xkcdai.onrender.com/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
Latest published version 0.1.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-07-12 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-07-12 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
mcp tools declared 1 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe xkcdai.onrender.com
mcp endpoint status ok The server listed 1 function when asked. as of probe xkcdai.onrender.com

Where to get it

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. Official MCP Registry — Model Context Protocol, observed , trust tier 1.
  2. Tools declared by the MCP server at https://xkcdai.onrender.com/mcp — xkcdai.onrender.com, observed , trust tier 1.