Borrowing it
Nothing to install: this file belongs to vaquarkhan/kafka-mcp-enterprise-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/vaquarkhan/kafka-mcp-enterprise-server/main/AGENTS.mdgit clone --depth 1 https://github.com/vaquarkhan/kafka-mcp-enterprise-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/vaquarkhan/kafka-mcp-enterprise-server/agents-md)<a href="https://agentmods.dev/instructions/vaquarkhan/kafka-mcp-enterprise-server/agents-md"><img src="https://agentmods.dev/badge/instructions/vaquarkhan/kafka-mcp-enterprise-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/vaquarkhan/kafka-mcp-enterprise-server/agents-md"><img src="https://agentmods.dev/badge/instructions/vaquarkhan/kafka-mcp-enterprise-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 | $0.01045 | $0.01045 |
| Opus 5 | $0.00522 | $0.00522 |
| Sonnet 5 | $0.00209 | $0.00209 |
| Haiku 4.5 | $0.00104 | $0.00104 |
Grade A, and why
kafka-mcp-enterprise-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 10d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md - Kafka MCP Enterprise (KIP-1318 reference)
Instructions for any coding agent (Cursor, Kiro, GitHub Copilot, ChatGPT/Codex, Google Gemini/Antigravity, Claude Code, Windsurf, etc.).
What this repo is
- Python stdlib-only reference for KIP-1318 / KAFKA-20436.
- PyPI:
kafka-mcp-enterprise· CLI:kafka-mcp-enterprise· import:kafka_mcp. - Not the official Apache Kafka Java MCP server. Production language in the KIP is Java.
- In-memory Kafka backend for conformance - not a live broker client.
- Scope honesty: see
doc/kip-alignment.md(stdio-only; no Streamable HTTP / EOS / distributed state in this reference).
Non-negotiables
- Fail-closed 9-step order: auth → deny → allow/readonly → scope → policy → taint → approval → rate limit → circuit breaker execute.
- Broker ACLs are load-bearing; MCP guardrails complement them. Do not claim MCP-only authz.
- Taint/IFC is best-effort - never market as complete prompt-injection prevention.
- Keep zero hard third-party deps for core (
kafka_mcp/). OTel is optional extra only. - Do not commit
internal/orCURSOR-BUILD-INSTRUCTIONS.md(gitignored). - Destructive tools must stay behind allow-list + approval in production guidance.
- After behavior changes:
python run_tests.pymust stay 302/302.
Layout
flowchart TB
root["repo root"]
root --> pkg["kafka_mcp/"]
root --> tests["tests/ · 302 checks"]
root --> ex["examples/0N_*/"]
root --> docs["doc/"]
root --> agents["AGENTS.md"]
root --> skills[".cursor/skills/ + skills/"]
Commands agents should run
python run_tests.py
python demo_end_to_end.py
python examples/01_sre_readonly_triage/run.py
echo {"jsonrpc":"2.0","id":1,"method":"tools/list"} | python serve_stdio.py
# or: kip install / kafka-mcp-enterprise
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.
- 10d ago First seen · 83 lines · 1,045 tokens per session scan A 6e396e61ab75
kafka-mcp-enterprise-server AGENTS.md is an instructions file published in the GitHub repository vaquarkhan/kafka-mcp-enterprise-server (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 1,045 tokens to every session, about $0.0052 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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vscode buildNext.instructions.md
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spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.