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Bestiary

An MCP server that gives AI assistants real video game knowledge. AI models know the general feel of most games but guess at specifics: drop rates, recipes, boss health, which patch changed what. This server finds the right wiki for any game and reads it, so the model can cite facts instead of making them up.

MCP server for AI assistants. Contact: open an issue at https://github.com/tiiow-fedora/bestiary-mcp

What it does

Tool

Purpose

find_game_wiki

Game name → ranked wikis (independent / wiki.gg / Fandom), with freshness, size, and warnings.

search_game_wiki

Full-text search on the best wiki for a game (or a wiki you name).

read_wiki_page

A page as compact markdown, tables and infoboxes kept. Intro + section list first, then one section at a time.

get_verified_facts

Facts someone confirmed in-game, with the game version. They outrank the wiki.

Finding the right wiki

Many game communities left Fandom for wiki.gg or their own sites, and the Fandom copy kept getting traffic while it went stale. The resolver combines:

  1. Wikidata for the game entity: Fandom wiki ID (P4073), Fandom article ID (P6262), official site (P856), PCGamingWiki (P6337), plus its series/franchise for games covered by a franchise wiki (Fallout 4 → Fallout Wiki).

  2. Indie Wiki Buddy data (MIT) for where each Fandom community moved. The old copy is marked SUPERSEDED.

  3. Probing {slug}.wiki.gg / {slug}.fandom.com, accepted only if the wiki's own name matches.

  4. Steam app ID (optional steam_appid on every tool): an exact Wikidata match, so niche or ambiguous names ("Data Center") resolve to the right game.

  5. PCGamingWiki is always listed last for PC games (settings, fixes, save locations). When no gameplay wiki exists, which is common for small indie games, it's the one used.

It then ranks by trust, freshness (last human edit), size, and whether the wiki covers one game or a whole series. In a 53-game test it picked the right wiki for every one, including Minecraft → minecraft.wiki, OSRS → oldschool.runescape.wiki, Zelda TotK → zeldawiki.wiki, and Skyrim → Fandom with a note pointing to UESP.

Being a good guest

  • Every request carries a descriptive User-Agent; per-host spacing and caching keep load low.

  • A wiki that opts out of AI fetchers in robots.txt (ChatGPT-User, Claude-User, … or * site-wide), or that sits behind a bot challenge (Cloudflare, Anubis), is never read. It is still named, with a link, so the user can go there themselves. Today that covers stardewvalleywiki.com, UESP, fallout.wiki, Liquipedia, and the TF2 wiki.

  • Path rules that keep crawlers off api.php aren't applied to single, user-requested lookups. Anything that bulk-fetches must use the full RFC 9309 check in src/robots.ts.

  • Wiki text is wrapped in random per-response delimiters and labelled as untrusted data (prompt-injection defence).

  • Every answer carries the page URL, the wiki's license (read from the wiki), and the page's last edit date.

Related MCP server: Wikipedia MCP Server

Use it

npm install
npm run build
claude mcp add bestiary --scope user -- node /path/to/bestiary-mcp/dist/stdio.js

Any MCP client works the same way: run node dist/stdio.js over stdio.

Verified facts

Add facts/<game>.md (copy facts/_TEMPLATE.md). Front matter states the game version and how each fact was verified. npm run build bundles them. There is no write tool: facts change only through reviewed commits.

Dev

  • node scripts/smoke.mjs runs the default checks; node scripts/smoke.mjs <tool> '<json args>' calls one tool.

  • node scripts/sweep.mjs [games...] runs the resolution sweep.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

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