# カーリル for AI / CALIL Library MCP

> Use this tool when you need to integrate AI with library services, enabling automated search and access to library catalogs. It solves problems of information discovery and retrieval, providing a unified interface to over 7,400 libraries nationwide. With inputs of search queries and outputs of relevant catalog results, CALIL for AI is ideal for use cases requiring efficient and scalable library data access.

Canonical page: https://skillsregistry.net/skills/caliljp-mcp-beta  
JSON: https://api.skillsregistry.net/v1/skills/caliljp-mcp-beta

## Description

「カーリル for AI」は、AIから利用できる図書館サービスという新しい体験を提供するための総合的な取り組みです。今回提供を開始する「カーリル図書館MCP」は、Model Context Protocolを採用した図書館蔵書検索サービスです。

カーリルは全国7,400以上の図書館に対応しており、図書館の蔵書検索とAIを統合します。

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"CALIL for AI" is a comprehensive initiative designed to offer a new experience: library services accessible directly by AI. The newly launched "CALIL Library MCP" is a library catalog search service built on the Model Context Protocol. Supporting over 7,400 libraries nationwide in JAPAN, CALIL integrates library search capabilities with AI.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/caliljp/mcp-beta)

## 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": "caliljp-mcp-beta"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/caliljp-mcp-beta` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/caliljp-mcp-beta/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