Borrowing it
Nothing to install: this file belongs to sandraschi/calibremcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/sandraschi/calibremcp/master/CLAUDE.mdgit clone --depth 1 https://github.com/sandraschi/calibremcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/sandraschi/calibremcp/claude-md)<a href="https://agentmods.dev/instructions/sandraschi/calibremcp/claude-md"><img src="https://agentmods.dev/badge/instructions/sandraschi/calibremcp/claude-md.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00282 | $0.00282 |
| Opus 5 | $0.00141 | $0.00141 |
| Sonnet 5 | $0.00056 | $0.00056 |
| Haiku 4.5 | $0.00028 | $0.00028 |
Grade A, and why
calibremcp CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
calibremcp — Claude Code Guide
Overview
SOTA April 2026 industrialized FastMCP 3.2.0 server for conversational Calibre e-book library management with sampling, agentic workflows, skills, prompts, and LanceDB metadata RAG
Entry Points
uv run schip-mcp-calibre→calibre_mcp.__main__:run
Standards
- FastMCP 3.2+ portmanteau tool pattern — tools use
operationenum param - Responses: structured dicts with
success,message, domain-specific fields - Dual transport: stdio (Claude Desktop) + HTTP (
MCP_TRANSPORT=http) - See mcp-central-docs for fleet-wide coding standards
Key Files
README.md— full documentationpyproject.toml— build config and entry pointsAGENTS.md— OpenAI Codex agent context (if present)
Session Context
You have access to a Calibre e-book library with 21 portmanteau tools for search, management, export, and RAG.
- Search library:
calibre_search(operation="search_books", query="...") - Library health:
calibre_manage(operation="library_health")
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 24 lines · 282 tokens per session scan A a45dc476ca75
calibremcp CLAUDE.md is an instructions file published in the GitHub repository sandraschi/calibremcp (42 stars, last pushed 6d ago), licensed MIT. It adds 282 tokens to every session, about $0.0014 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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Copilot instructions for runtm-ai/runtm, covering runtm tool instructions, critical rules, structure, adding endpoints and app/api/v1/myendpoint.py.
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AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.