# bookshelf-mcp

> bookshelf-mcp — savagecore-bookshelf-mcp. Use this tool when you need to integrate a large language model (LLM) with a book management system, allowing for automated reading and management of book collections. The bookshelf-mcp tool exposes a REST API for interacting with book data, including authors, books, and series, and provides read/write access to manage downloads, imports, and system status. It is ideal for use cases involving automated book discovery, organization, and maintenance, with careful consideration for flagged destructive tools.

Canonical page: https://skillsregistry.net/skills/savagecore-bookshelf-mcp  
JSON: https://api.skillsregistry.net/v1/skills/savagecore-bookshelf-mcp

## Description

MCP server that exposes the Bookshelf (Readarr fork) v1 REST API as tools, allowing an LLM to read and manage authors, books, book files, editions, series, download queue, history, indexers, import lists, custom formats, tags, commands, and system status, with full read/write access and destructive tools flagged.

## 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:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lzxngtpg71)
- **Repository:** <https://github.com/arr-mcps/bookshelf-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": "savagecore-bookshelf-mcp"
    }
  }
}
```

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