mcp-server AGENTS.md

Project instructions for a Python web server that exposes agent-related functions and prompts through MCP, a standard way for AI tools to connect to software. They describe the code layout, dependencies, tests, and development commands.

In plain words
What is it for?
Use them when building, running, testing, or modifying this FastAPI and Uvicorn server, its agent rules, Docker setup, or GitHub Actions.
Why use it?
They give coding agents the project context needed to make consistent changes without guessing where files, prompts, or tests belong.

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/nicholaswilde/mcp-server/agents-md
Clone the repo
git clone --depth 1 https://github.com/nicholaswilde/mcp-server

Made for: Codex, OpenCode.

Per session 750 This file is loaded in full into every session.
When invoked 750 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 $0.00750 $0.00750
Opus 5 $0.00375 $0.00375
Sonnet 5 $0.00150 $0.00150
Haiku 4.5 $0.00075 $0.00075

Measured 3d ago against content hash c96341d4dc71, 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 3d 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 · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Project Overview

This is a Python project designed to serve as an MCP (Multi-Cloud Platform) server. It utilizes FastAPI for the web framework and Uvicorn as the ASGI server. The project also includes an agents-library for managing agent-related rules and prompts.

Technologies Used

  • Python
  • FastAPI: Web framework for building APIs.
  • Uvicorn: ASGI server.
  • mcp: Multi-Cloud Platform SDK.

Project Structure

  • Dockerfile: Used for containerizing the application.
  • requirements.txt: Lists Python dependencies, generated from requirements.in by pip-compile.
  • requirements.in: Defines direct Python dependencies for the project.
  • app/: Contains the core application logic.
    • server.py: The main FastAPI application server.
  • agents-library/: Stores agent-related rules and prompts, categorized by type.
    • bash/: Contains bash scripts used by agents.
    • markdown/: Contains markdown files with agent instructions and prompts.
  • .github/: Contains GitHub Actions workflow definitions and other repository configurations.
  • tests/: Contains unit and integration tests for the application.
    • test_server.py: Tests for the main FastAPI server.
  • docs/: Contains project documentation.
    • contributing.md: Guidelines for contributing to the project.
  • Taskfile.yml: Defines various development tasks using Task (e.g., linting, testing, running the server).

Building and Running

To set up and run this project, follow these steps:

  1. Create and Activate Virtual Environment:

    python3 -m venv venv
    source venv/bin/activate
    
  2. Install Dependencies:

    pip install -r requirements.txt
    
  3. Run the Server:

    uvicorn app.server:app --host 0.0.0.0 --port 8080
    
  4. Run Linting and Formatting Checks:

    task lint
    
  5. Run Tests:

    task test
    

Development Conventions

Read the full file on GitHub · 67 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. 3d ago First seen · 67 lines · 750 tokens per session scan A c96341d4dc71

Subscribe to this mod's changes

mcp-server AGENTS.md is an instructions file published in the GitHub repository nicholaswilde/mcp-server (3 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 750 tokens to every session, about $0.0037 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.