Borrowing it
Nothing to install: this file belongs to opendatahub-io/rhoai-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/opendatahub-io/rhoai-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/opendatahub-io/rhoai-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/opendatahub-io/rhoai-mcp/claude-md)<a href="https://agentmods.dev/instructions/opendatahub-io/rhoai-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/opendatahub-io/rhoai-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/opendatahub-io/rhoai-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/opendatahub-io/rhoai-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 | $0.01692 | $0.01692 |
| Opus 5 | $0.00846 | $0.00846 |
| Sonnet 5 | $0.00338 | $0.00338 |
| Haiku 4.5 | $0.00169 | $0.00169 |
Grade A, and why
rhoai-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 11d 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 — 167 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.
Project Overview
RHOAI MCP Server is an MCP (Model Context Protocol) server that enables AI agents to interact with Red Hat OpenShift AI (RHOAI) environments. It provides programmatic access to RHOAI features (projects, workbenches, model serving, pipelines, data connections, storage, training) through domain modules, plus workflow prompts that guide agents through multi-step operations.
Build and Development Commands
# Setup development environment
uv sync # Install package
make dev # Alias for setup
# Run the server locally
uv run rhoai-mcp # Default (stdio transport)
uv run rhoai-mcp --transport sse # HTTP transport
# Testing
make test # All tests
make test-unit # Unit tests only (tests/training)
make test-integration # Integration tests (tests/integration)
# Code quality
make lint # ruff check
make format # ruff format + fix
make typecheck # mypy
make check # lint + typecheck
# Container operations
make build # Build container image
make run-http # Run with SSE transport
make run-stdio # Run with stdio transport
make run-dev # Debug logging + dangerous ops enabled
# MCP Evaluation (requires LLM API key, see .env.eval.example)
make eval # Run mock-cluster evals
make eval-live # Run all evals (including live cluster)
make eval-scenario SCENARIO=cluster_exploration # Run a single scenario
Architecture
Project Structure
rhoai-mcp/
├── src/
│ └── rhoai_mcp/ # Main package
│ ├── __init__.py
│ ├── __main__.py # CLI entry point
│ ├── config.py # Configuration (pydantic-settings)
│ ├── server.py # FastMCP server
│ ├── hooks.py # Pluggy hook specifications
│ ├── plugin.py # Plugin protocol and base class
│ ├── plugin_manager.py # Plugin lifecycle management
│ ├── clients/ # K8s client abstractions
│ ├── models/ # Shared Pydantic models
│ ├── utils/ # Helper functions
│ ├── domains/ # Domain modules (pure CRUD operations)
│ │ ├── projects/ # Data Science Project management
│ │ ├── notebooks/ # Kubeflow Notebook/Workbench
│ │ ├── inference/ # KServe InferenceService
│ │ ├── pipelines/ # Data Science Pipelines (DSPA)
│ │ ├── connections/ # S3 data connections
│ │ ├── storage/ # PersistentVolumeClaim
│ │ ├── training/ # Kubeflow Training Operator
│ │ ├── model_registry/ # Model Registry integration
│ │ ├── prompts/ # MCP workflow prompts (18 prompts)
│ │ └── registry.py # Domain plugin registry (9 plugins)
│ └── composites/ # Cross-cutting composite tools
│ ├── cluster/ # Cluster summaries and exploration
│ ├── training/ # Training workflow orchestration
│ ├── meta/ # Tool discovery and guidance
│ └── registry.py # Composite plugin registry (3 plugins)
├── tests/ # Test suite
├── docs/ # Documentation
├── pyproject.toml # Project configuration
└── Containerfile # Container build
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.
- 11d ago First seen · 167 lines · 1,692 tokens per session scan A 7e6ff006c234
rhoai-mcp CLAUDE.md is an instructions file published in the GitHub repository opendatahub-io/rhoai-mcp (9 stars, last pushed today), licensed MIT. It adds 1,692 tokens to every session, about $0.0085 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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