Borrowing it
Nothing to install: this file belongs to anirbanbasu/pymcp. 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/anirbanbasu/pymcp/master/AGENTS.mdgit clone --depth 1 https://github.com/anirbanbasu/pymcpWrote 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/anirbanbasu/pymcp/agents-md)<a href="https://agentmods.dev/instructions/anirbanbasu/pymcp/agents-md"><img src="https://agentmods.dev/badge/instructions/anirbanbasu/pymcp/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/anirbanbasu/pymcp/agents-md"><img src="https://agentmods.dev/badge/instructions/anirbanbasu/pymcp/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 | $0.01467 | $0.01467 |
| Opus 5 | $0.00733 | $0.00733 |
| Sonnet 5 | $0.00293 | $0.00293 |
| Haiku 4.5 | $0.00147 | $0.00147 |
Grade A, and why
pymcp 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 yesterday.
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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
This file provides guidance to coding agents (Claude Code, Codex, and similar tools) when working with code in this repository.
Project
pymcp: a template repository for building MCP servers with FastMCP in Python. It is not itself an application with a fixed domain — the greet, generate_password, text_web_search, permutations, and run_python_code tools exist to demonstrate patterns (tool/resource/prompt registration, middleware, caching, response metadata), not because they're the point of the project. When adapting this repository into a new MCP server, expect to delete the example tools/resources/prompts and replace them, while keeping the surrounding scaffolding (mixin registration, middleware, env var handling, test layering) intact.
Commands
uv manages the Python 3.12 environment — do not use pip directly. Commands run either via plain uv run or the justfile (just -l lists every recipe).
just install # sync minimal (runtime-only) dependencies
just install-all # sync all dependency groups (dev, test)
just format # ruff format + ruff check --fix
just type-check # uv run ty check
just test-coverage # pytest (via coverage) across tests/, then coverage report
just launch-inspector # run the MCP Inspector against the server (needs nvm/node)
just vulnerability-scan # osv-scanner over the source tree
just install-pre-commit-hooks / just pre-commit-update # manage hooks via `prek`, not `pre-commit`
Run a single test:
uv run pytest tests/test_server.py::TestMCPServer::test_greet_default -v
just test-coverage enforces fail_under = 100 (see [tool.coverage.report] in pyproject.toml); use # pragma: no cover for genuinely unreachable branches rather than writing tests around them. Running a single test with plain pytest/uv run pytest skips the coverage gate, which is expected during iterative development.
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.
- yesterday First seen · 65 lines · 1,467 tokens per session scan A 9e8ec8609c8e
pymcp AGENTS.md is an instructions file published in the GitHub repository anirbanbasu/pymcp (8 stars, last pushed yesterday), licensed MIT. It adds 1,467 tokens to every session, about $0.0073 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 2026-09-15.
Other instructions, from other repositories
graftcode graftcode-python.instructions.md
Instructions for grft-dev/graftcode, covering graftcode — python backend services, when this applies (always), authoritative docs (source of truth), golden rules and service = plain python module (no web framework).
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
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.
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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.