CalibreMCP is a FastMCP 2.0 server designed for comprehensive management of Calibre e-book libraries, integrating with Claude Desktop. It offers advanced features like AI-powered book recommendations, content analysis, and smart metadata enhancement to streamline e-book organization and discovery.

Is calibremcp open source?

Please check the official repository for license details.

calibremcp: A FastMCP 2. (★ 42)

Features

01Full Calibre library access, search, and management.

02AI-powered book recommendations and content analysis.

03Smart metadata enhancement, validation, and automated organization.

04On-the-fly e-book format conversion.

05Advanced series management and consistency fixing.

Why choose it

+Full Calibre library access, search, and management.

+Receive personalized book recommendations based on user preferences or existing books.

+Covers 3 supported environments or platforms, which is helpful for broader deployment needs.

+The latest recorded update is 2026-09-06, which suggests the project is still actively maintained.

Trade-offs

!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.

Compatibility

Python

Runtime

Verified via docs

Calibre

Dependency

Verified via docs

Claude Desktop

Integration

Verified via docs

Quick start

$ git clone https://github.com/jlowin/calibremcp.git

$ cd calibremcp

$ pip install -e .

Use cases

↳Receive personalized book recommendations based on user preferences or existing books.

↳Analyze e-book content to extract key entities, themes, and sentiment for deeper insights.

↳Automate metadata enhancement and validation processes for a cleaner e-book library.

↳Manage and fix inconsistencies within e-book series, ensuring proper organization.

↳Integrate Calibre library management with AI desktop assistants for interactive control.

How it compares

≈calibremcp sits in the Data Processing category, so it makes more sense to evaluate it alongside tools like mirascope instead of in isolation.

≈If your main need is closer to "Receive personalized book recommendations based on user preferences or existing books.", that use case is a better lens for comparison than broad feature checklists alone.

≈calibremcp's licensing and community traction are both easier to judge in category context.