mcp2anp AGENTS.md

An AGENTS.md instruction file for mcp2anp, a Python bridge that connects systems using the Model Context Protocol, a standard way for AI tools and programs to exchange requests. It documents the code layout, commands, and testing rules.

In plain words
What is it for?
Use it when changing adapters, tools, shared code, protocol documentation, examples, or tests in mcp2anp.
Why use it?
It helps an agent work within the repository's existing structure and run the expected environment, build, and test checks.

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/agent-network-protocol/mcp2anp/agents-md
Clone the repo
git clone --depth 1 https://github.com/agent-network-protocol/mcp2anp

Made for: Codex, OpenCode.

Per session 588 This file is loaded in full into every session.
When invoked 588 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 $0.00588 $0.00588
Opus 5 $0.00294 $0.00294
Sonnet 5 $0.00118 $0.00118
Haiku 4.5 $0.00059 $0.00059

Measured 2d ago against content hash d66835e9b4c5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mcp2anp 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 · 33 lines

How it starts

The opening of the file, as written. The whole thing — 33 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repository Guidelines

Project Structure & Module Organization

  • Source code lives under mcp2anp/, arranged into adapters/, tools/, and common/; keep new runtime modules aligned with these boundaries.
  • Tests mirror the runtime tree in tests/ and share fixtures in tests/fixtures/; reuse JSON-RPC payloads stored there instead of duplicating literals.
  • Store documentation and protocol notes in docs/ (notably docs/spec.md), while diagrams, traces, and reference transcripts belong in assets/.
  • Example client scripts reside in examples/; keep them minimal and cross-reference stable entry points such as mcp2anp.server.

Build, Test, and Development Commands

  • uv venv --python 3.11: create the canonical virtual environment before installing anything else.
  • uv sync: install and lock dependencies from pyproject.toml; commit updated uv.lock and uv.toml when they change.
  • uv run python -m mcp2anp.server --reload: start the local bridge with hot reload for integration testing.
  • uv run pytest [-k expr --maxfail=1]: run the full suite or narrow to a focused subset during debugging.

Coding Style & Naming Conventions

  • Follow Google Python Style: four-space indentation, type hints on public APIs, English docstrings covering arguments, returns, and raised errors.
  • Use CamelCase classes, snake_case functions and variables, and UPPER_SNAKE_CASE constants; keep module names short and descriptive.
  • Log through logging with explicit context (IDs, endpoints) and keep inline comments in English; avoid stray prints.

Testing Guidelines

  • Write pytest modules named test_<module>.py alongside the unit under test; place reusable payloads in fixtures.
  • Target at least 90% statement coverage, covering success, failure, and boundary scenarios for each adapter.
  • Include a fresh uv run pytest summary in every PR description; add regression tests when reproducing reported defects.

Commit & Pull Request Guidelines

  • Craft imperative commit subjects under 72 characters; expand on complex changes with bullet points in the body.
  • Reference issues with Fixes: or Refs: trailers and flag breaking updates under BREAKING CHANGE:.
  • Open PRs with a concise summary, enumerated key changes, validation checklist (uv run pytest, lint, manual run), and attach screenshots or logs for user-visible behavior.

Read the full file on GitHub · 33 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 · 33 lines · 588 tokens per session scan A d66835e9b4c5

Subscribe to this mod's changes

mcp2anp AGENTS.md is an instructions file published in the GitHub repository agent-network-protocol/mcp2anp (7 stars, last pushed 7mo ago), licensed MIT. It adds 588 tokens to every session, about $0.0029 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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