porkbun-mcp: Instructions file for Codex

AGENTS.md

porkbun-mcp AGENTS.md is an instructions file for Codex, OpenCode from major/porkbun-mcp. It costs 1,645 tokens per session, scanned A, original, MIT.

Project instructions for Porkbun MCP, a server that lets a coding agent manage DNS records through Porkbun's API. DNS records control where domains send web and email traffic.

In plain words
What is it for?
They are for maintaining the Python server and its tools for listing, reading, creating, editing, and deleting DNS records.
Why use it?
They explain how to install, run, test, format, and type-check the server, reducing setup mistakes during development.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is major/porkbun-mcp's own configuration. It tells Codex and OpenCode how to work on porkbun-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything porkbun-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to major/porkbun-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.

Copy the file
curl -O https://raw.githubusercontent.com/major/porkbun-mcp/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/major/porkbun-mcp

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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Per session 1,645 This file is loaded in full into every session.
When invoked 1,645 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.01645 $0.01645
Opus 5.5 $0.00658 $0.00658
Sonnet 5.5 $0.00329 $0.00329
Haiku 4.5 $0.00164 $0.00164

Measured 2mo ago against content hash d2f9e19a2297, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

porkbun-mcp 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 2mo 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 · 240 lines

How it starts

The opening of the file, as written. The whole thing — 240 lines — stays where its author put it; the contents beside it link to each section on GitHub.

porkbun-mcp - Agent Guidelines

MCP server for Porkbun DNS API. Python 3.14+, FastMCP 2.14+, async-first via oinker.

Quick Reference

# Install dependencies
uv sync --dev

# Run all checks (lint, format, typecheck, test)
make check

# Individual commands
make lint          # ruff check .
make format        # ruff format .
make typecheck     # ty check
make test          # pytest with coverage

# Run single test file
uv run pytest tests/test_dns_tools.py

# Run single test by name
uv run pytest -k "test_dns_list"

# Fix lint issues automatically
make fix

# Run the MCP server
uv run porkbun-mcp
uv run porkbun-mcp --transport sse    # SSE transport

Project Structure

src/porkbun_mcp/
├── __init__.py           # Public API + main() entry point
├── server.py             # FastMCP server setup + lifespan
├── config.py             # PorkbunMCPSettings (pydantic-settings)
├── models.py             # Pydantic response models (output schemas)
├── errors.py             # Oinker -> MCP error mapping
└── tools/
    ├── __init__.py       # register_tools()
    ├── ping.py           # ping tool
    ├── dns.py            # DNS record tools (list, get, create, edit, delete)
    ├── domains.py        # Domain management tools
    ├── dnssec.py         # DNSSEC tools
    ├── ssl.py            # SSL certificate tools
    └── pricing.py        # TLD pricing tool

Code Style

General Principles

  • Async-first: All tools and resources are async functions
  • Pydantic models: Response models for strict output schemas
  • Type hints everywhere: Full type annotations with Annotated[type, Field(...)]
  • Single-purpose functions: Small, focused, testable

Imports

from __future__ import annotations  # Always first

from typing import TYPE_CHECKING, Annotated

from fastmcp import Context, FastMCP
from fastmcp.exceptions import ToolError
from pydantic import BaseModel, Field

from porkbun_mcp.config import PorkbunMCPSettings
from porkbun_mcp.errors import handle_oinker_error
from porkbun_mcp.models import DNSRecord

if TYPE_CHECKING:
    from oinker import AsyncPiglet

Read the full file on GitHub · 240 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. 2mo ago First seen · 240 lines · 1,645 tokens per session scan A d2f9e19a2297

Subscribe to this mod's changes

porkbun-mcp AGENTS.md is an instructions file published in the GitHub repository major/porkbun-mcp (23 stars, last pushed 5mo ago), licensed MIT. It adds 1,645 tokens to every session, about $0.0066 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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