# @striderlabs/mcp-crunchyroll

> @striderlabs/mcp-crunchyroll — markswendsen-code-mcp-crunchyroll. Use this tool when you need to integrate Crunchyroll anime streaming capabilities into AI assistants, enabling features like anime search, watchlist management, and personalized recommendations. It solves problems related to anime discovery, account management, and content tracking, providing inputs like user queries and outputs like relevant anime titles and recommendations. Ideal for use cases where users want to access Crunchyroll content and manage their accounts through voice or text-based AI interfaces.

Canonical page: https://skillsregistry.net/skills/markswendsen-code-mcp-crunchyroll  
JSON: https://api.skillsregistry.net/v1/skills/markswendsen-code-mcp-crunchyroll

## Description

Crunchyroll anime streaming MCP connector that enables AI assistants to search anime, manage watchlists, track watch history, get recommendations, and handle account authentication.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tbr0y8rhlr)
- **Repository:** <https://github.com/markswendsen-code/mcp-crunchyroll>

## 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": "markswendsen-code-mcp-crunchyroll"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/markswendsen-code-mcp-crunchyroll` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/markswendsen-code-mcp-crunchyroll/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