Borrowing it
Nothing to install: this file belongs to imatza-rh/mcp-zuul. 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/imatza-rh/mcp-zuul/main/CLAUDE.mdgit clone --depth 1 https://github.com/imatza-rh/mcp-zuulWrote 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/imatza-rh/mcp-zuul/claude-md)<a href="https://agentmods.dev/instructions/imatza-rh/mcp-zuul/claude-md"><img src="https://agentmods.dev/badge/instructions/imatza-rh/mcp-zuul/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/imatza-rh/mcp-zuul/claude-md"><img src="https://agentmods.dev/badge/instructions/imatza-rh/mcp-zuul/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 | $0.02037 | $0.02037 |
| Opus 5 | $0.01019 | $0.01019 |
| Sonnet 5 | $0.00407 | $0.00407 |
| Haiku 4.5 | $0.00204 | $0.00204 |
Grade A, and why
mcp-zuul 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 9d 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 — 109 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
MCP server for Zuul CI — 48 tools (40 read-only + 6 write + 1 LogJuicer + 1 console stream), 5 prompts, and 3 resources exposing builds, logs, pipelines, jobs, infrastructure, and live status via the Model Context Protocol. Published on PyPI as mcp-zuul. Supports stdio, SSE, and streamable-http transports.
Commands
# Install dev dependencies
uv sync --extra dev
# Run the server locally
ZUUL_URL=https://softwarefactory-project.io/zuul uv run mcp-zuul
# Tests
uv run pytest tests/ -v # all tests
uv run pytest tests/test_tools_builds.py -v # single test file
uv run pytest tests/ -v -k "test_name" # single test by name
# Lint and format
uv run ruff check src/ tests/
uv run ruff format --check src/ tests/ # check only
uv run ruff format src/ tests/ # auto-fix
# Type check
uv run mypy src/mcp_zuul/
Architecture
All source lives in src/mcp_zuul/. The package uses hatchling as build backend with src layout.
Module Dependency Flow
__init__.py → imports tools, prompts, resources (registers decorators), exports main()
server.py → MCPServer instance ("zuul-ci"), lifespan (creates httpx clients), _BearerAuth
tools/ → Package: 47 @mcp.tool() functions split by domain
__init__.py → Re-exports for backward compat (tests import from mcp_zuul.tools)
_common.py → Shared constants, _check_url_host(), _resolve(), _fetch_job_output(), re-exports from parsers
_builds.py → 8 build tools: list_builds, get_build, get_build_failures, diagnose_build, batch_diagnose, diagnose_and_test, etc.
_console.py → 1 console stream tool: stream_build_console (optional, requires websockets)
_logs.py → 3 log tools: get_build_log, browse_build_logs, tail_build_log
_status.py → 7 status/analytics: list_tenants, get_status, get_change_status, find_flaky_jobs, etc.
_config.py → 15 config/infra: list_jobs, get_job, get_project, list_nodes, get_freeze_job, etc.
_write.py → 6 write ops: enqueue, dequeue, autohold_create, autohold_delete, promote, reenqueue_buildset
_tests.py → 1 test results: get_build_test_results + JUnit XML parsing
_logjuicer.py → 1 LogJuicer: get_build_anomalies
prompts.py → 5 @mcp.prompt() templates (debug_build, compare_builds, check_change, tenant_health, diagnose_queue_delay)
resources.py → 3 @mcp.resource() templates (zuul://{tenant}/build|job|project/...)
helpers.py → AppContext dataclass, api() HTTP wrapper, parse_zuul_url(), utility functions
config.py → Config dataclass loaded from env vars (ZUUL_URL, MCP_TRANSPORT, ZUUL_ENABLED_TOOLS, etc.)
auth.py → Kerberos/SPNEGO authentication (drives OIDC redirect chain)
parsers.py → parse_playbooks(), smart_truncate(), extract_inner_recap(), extract_inner_failures(), extract_errors(), grep_log_context()
formatters.py → Token-efficient formatters (fmt_build, fmt_buildset, fmt_project, fmt_job_variants, etc.)
errors.py → @handle_errors decorator wrapping all tools with uniform error→JSON handling
classifier.py → Failure classification (INFRA_FLAKE, REAL_FAILURE, CONFIG_ERROR, UNKNOWN)
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.
- 9d ago First seen · 109 lines · 2,037 tokens per session scan A bbbb84be4671
mcp-zuul CLAUDE.md is an instructions file published in the GitHub repository imatza-rh/mcp-zuul (20 stars, last pushed 4d ago), licensed Apache-2.0. It adds 2,037 tokens to every session, about $0.0102 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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