# AniList (ani-mcp)

> Use this tool when you need to enhance your anime discovery and management experience with personalized recommendations, social features, and advanced list management. It solves problems such as finding new anime shows, tracking watch history, and connecting with like-minded users, by providing a robust interface for searching, browsing, and analyzing anime data. It takes user preferences and watch history as inputs and outputs tailored recommendations, compatibility scores, and curated lists.

Canonical page: https://skillsregistry.net/skills/gh-gavxm-anilist  
JSON: https://api.skillsregistry.net/v1/skills/gh-gavxm-anilist

## Description

Provides an intelligence layer on top of the AniList API with taste profiling, personalized recommendations, compatibility comparisons between users, sequel alerts, watch order traversal, and session planning. Includes tools for search, trending, seasonal browsing, list management, analytics, and social features with full write access support.

## Trust

- **Trust score (0–1):** 0.75
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-gavxm-anilist)
- **Repository:** <https://github.com/gavxm/ani-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "gh-gavxm-anilist"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-gavxm-anilist` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-gavxm-anilist/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt