mcp-server AGENTS.md

Repository instructions for contributors, maintainers, and AI agents working on kubeflow/mcp-server. They describe the project's structure, development rules, and expectations for safe, minimal changes.

In plain words
What is it for?
Finding the right development commands, understanding the repository layout, following testing and dependency rules, and preserving existing MCP tool and error-handling conventions.
Why use it?
They help agents understand the repository before editing it and avoid bypassing tests, changing protected interfaces, or introducing inconsistent code.

Instructions file for CodexOpenCode

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/kubeflow/mcp-server/agents-md
Clone the repo
git clone --depth 1 https://github.com/kubeflow/mcp-server

Made for: Codex, OpenCode.

Per session 2,113 This file is loaded in full into every session.
When invoked 2,113 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.02113 $0.02113
Opus 5 $0.01056 $0.01056
Sonnet 5 $0.00423 $0.00423
Haiku 4.5 $0.00211 $0.00211

Measured 2d ago against content hash daa3b5fc964d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 2d 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.

AGENTS.md · 216 lines

How it starts

The opening of the file, as written. The whole thing — 216 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.md and Makefile as 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)

Read the full file on GitHub · 216 lines

Changes

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.

  1. 2d ago First seen · 216 lines · 2,113 tokens per session scan A daa3b5fc964d

Subscribe to this mod's changes

mcp-server AGENTS.md is an instructions file published in the GitHub repository kubeflow/mcp-server (41 stars, last pushed 7d ago), licensed Apache-2.0. It adds 2,113 tokens to every session, about $0.0106 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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