Borrowing it
Nothing to install: this file belongs to kubeflow/mcp-server. 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/kubeflow/mcp-server/main/AGENTS.mdgit clone --depth 1 https://github.com/kubeflow/mcp-serverWrote 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/kubeflow/mcp-server/agents-md)<a href="https://agentmods.dev/instructions/kubeflow/mcp-server/agents-md"><img src="https://agentmods.dev/badge/instructions/kubeflow/mcp-server/agents-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/kubeflow/mcp-server/agents-md"><img src="https://agentmods.dev/badge/instructions/kubeflow/mcp-server/agents-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 | $0.02122 | $0.02122 |
| Opus 5.5 | $0.00849 | $0.00849 |
| Sonnet 5.5 | $0.00424 | $0.00424 |
| Haiku 4.5 | $0.00212 | $0.00212 |
Grade A, and why
mcp-server AGENTS.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 24d 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 — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Who This Is For
- AI agents: Automate repository tasks with minimal context
- Contributors: Humans using AI assistants or working directly
- Maintainers: Ensure assistants follow project conventions and CI rules
Agent Behavior Policy
AI agents should:
- Make atomic, minimal, and reversible changes.
- Prefer local analysis (
uv run,make verify,make test-python) before proposing commits. - NEVER modify configuration, CI/CD, or release automation unless explicitly requested.
- Avoid non-deterministic code or random seeds without fixtures.
- Use
AGENTS.mdandMakefileas the source of truth for development commands.
Agents must NOT:
- Bypass tests or linters
- Introduce dependencies without updating
pyproject.toml - Generate or commit large autogenerated files
- Change MCP tool schemas, names, or required parameters without KEP / maintainer discussion
Context Awareness
Before writing code, agents should:
- Read docstrings and existing test cases for pattern alignment
- Match import patterns from neighboring files
- Preserve existing logging, audit wrapping, and error-handling conventions
Repository Map
.github/ # GitHub Actions (CI, issue/PR templates)
docs/ # Architecture assets and diagrams
tests/ # Integration, e2e, conformance suites; shared test helpers
kubeflow_mcp/ # Main Python package (unit tests co-located as *_test.py)
├── cli.py # Click CLI entry (`kubeflow-mcp serve`)
├── __main__.py # python -m kubeflow_mcp
├── common/ # Shared constants, types, and utils
├── core/ # MCP server runtime
│ ├── server.py # FastMCP factory, client loading, tool wrapping
│ ├── auth.py # Bearer / JWT auth for HTTP
│ ├── policy.py # Personas and policy YAML filtering
│ ├── security.py # Input validation, masking, namespace checks
│ ├── resilience.py # Rate limiter and circuit breaker
│ ├── dynamic_tools.py # full / progressive / semantic tool modes
│ ├── health.py # health_check, get_server_logs
│ ├── telemetry.py # Optional OpenTelemetry tracing
│ ├── middleware.py # Audit identity ContextVars
│ ├── config.py # Config precedence (CLI > env > file)
│ ├── logging.py # Structured logging
│ └── resources.py # MCP resource registration
├── trainer/ # Trainer client (implemented)
│ ├── api/ # Tools by phase (planning, discovery, …)
│ ├── constants/ # Trainer constants
│ ├── types/ # Trainer types
│ └── resources/ # Markdown guidance for agents
├── optimizer/ # Optimizer client (stub)
└── hub/ # Hub / Model Registry client (stub)
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.
- 24d ago Changed · +5 tokens per session 1831cf6eacd3
- 1mo ago Changed · +2 lines · +4 tokens per session 795c553ce58a
- 1mo ago First seen · 216 lines · 2,113 tokens per session scan A daa3b5fc964d
mcp-server AGENTS.md is an instructions file published in the GitHub repository kubeflow/mcp-server (55 stars, last pushed yesterday), licensed Apache-2.0. It adds 2,122 tokens to every session, about $0.0085 per session on Opus 5.5. 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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