Borrowing it
Nothing to install: this file belongs to k9fr4n/thruk-mcp. 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/k9fr4n/thruk-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/k9fr4n/thruk-mcpWrote 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/k9fr4n/thruk-mcp/claude-md)<a href="https://agentmods.dev/instructions/k9fr4n/thruk-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/k9fr4n/thruk-mcp/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/k9fr4n/thruk-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/k9fr4n/thruk-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.01789 | $0.01789 |
| Opus 5 | $0.00894 | $0.00894 |
| Sonnet 5 | $0.00358 | $0.00358 |
| Haiku 4.5 | $0.00179 | $0.00179 |
Grade A, and why
thruk-mcp 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
What this is
thruk-mcp is a Model Context Protocol (MCP) server that exposes the Thruk monitoring REST API (Naemon / Nagios / Icinga / Shinken) as ~65 MCP tools, so an LLM can query hosts/services, run analytics, and execute write actions (downtimes, acks, rechecks) over Thruk's REST API. Python package, src/ layout, packaged with hatchling, published to PyPI and ghcr.io/k9fr4n/thruk-mcp.
Commands
Run the exact checks CI runs (see .github/workflows/ci.yml, gates at 80% coverage):
ruff check src tests
ruff format --check src tests
mypy src
pytest -v --cov=thruk_mcp --cov-fail-under=80
Dev setup: pip install -e ".[dev]" then pre-commit install.
Single test / by marker:
pytest tests/test_tools.py::test_name -v # one test
pytest -m integration # live suite (skipped by default — see below)
pytest.ini_options.addopts defaults to -m 'not integration', so plain pytest never hits a live Thruk. The integration suite needs a running instance:
docker compose -f compose.test.yml up -d # OMD demo on :8080, wait ~30s
THRUK_BASE_URL=http://localhost:8080/demo \
THRUK_API_KEY=$(./scripts/get-test-api-key.sh) \
pytest -m integration
Run the server locally: thruk-mcp (stdio) or thruk-mcp --listen 8001 (Streamable-HTTP, endpoint /mcp). --transport {stdio,streamable-http,sse} picks the transport explicitly; --listen alone implies streamable-http. SSE (--transport sse, /sse + /messages/) is deprecated. --stateless/--json-response apply to streamable-http only (transport wiring lives in __main__.py). Needs THRUK_BASE_URL + THRUK_API_KEY (copy .env.example → .env).
Architecture
Low-level MCP SDK, not FastMCP — this is deliberate. server.py uses mcp.server.Server and defines every tool's inputSchema explicitly. FastMCP derives schemas from type hints via get_type_hints(), which fails for closures and yields empty properties: {}; the Docker MCP Gateway then silently drops all tool arguments. Consequently: arguments arrive in call_tool as a raw dict (no Pydantic model), and schemas are hand-built with the _s/_str/_int/_bool/_OPT_* helpers in tools/base.py. Don't reintroduce annotation-driven schema generation.
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.
- 8d ago First seen · 78 lines · 1,789 tokens per session scan A 6e1dbbdf37e6
thruk-mcp CLAUDE.md is an instructions file published in the GitHub repository k9fr4n/thruk-mcp (0 stars, last pushed 15d ago), licensed MIT. It adds 1,789 tokens to every session, about $0.0089 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 2026-08-31.
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