io.github.GavMason/ani-mcp

MCPcommunity
v0.1.1io.github.GavMasonUnknownUpdated 4mo agonpmGitHub

A smart MCP server for AniList that gets your anime/manga taste - not just API calls.

A smart MCP server for AniList that understands your anime and manga taste - not just raw API calls. Most AniList integrations mirror the API 1:1. ani-mcp adds an intelligence layer on top: Taste profiling - builds a model of your preferences from your completed list Personalized picks - "what should I watch next?" based on your taste, mood, and seasonal lineup Compatibility - compare taste…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
4mo agoLast update
Package
Authorio.github.GavMason
LicenseUnknown
Version0.1.1
Sourcemcp-registry
Trust Status
B
65/100Good
Listed in Forge index+10/10
Publisher identity verified+0/25
Publisher: run `forge publish` from the package repo to claim ownership
Ed25519 publish signature+0/10
Included automatically when the publisher runs `forge publish`
Domain verification+0/5
Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
CVE scan · clean+30/30
Static analysis · clean+20/20
npm provenance (Sigstore)+5/5
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance✗ Attestation issue
Dependencies60 resolved+ · none vulnerable
Tool surface40 tools · 1 privileged
Security scan⚠ Warnings (0)v0.15.6 · 20d ago
PROVattestationArtifact built from https://github.com/gavxm/ani-mcp but the listing declares https://github.com/GavMason/ani-
PROMPTdescriptionLinks to undeclared domains: modelcontextprotocol.io, anilist.co
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

A smart MCP server for AniList that understands your anime and manga taste - not just raw API calls. Most AniList integrations mirror the API 1:1. ani-mcp adds an intelligence layer on top: Taste profiling - builds a model of your preferences from your completed list Personalized picks - "what should I watch next?" based on your taste, mood, and seasonal lineup Compatibility - compare taste between two users Sequel alerts - find sequels airing this season for shows you've finished Watch order -…

Keywords
mcp