aws-mcp-server-devops-ai: Instructions file for Claude Code

CLAUDE.md

aws-mcp-server-devops-ai CLAUDE.md is an instructions file for Claude Code from saifeezibrahim/aws-mcp-server-devops-ai. It costs 1,151 tokens per session, scanned A, original, MIT.

Project instructions for developing an AWS MCP server in Python. An MCP server is a program that lets an AI coding tool use connected capabilities, while uv and pip are tools for installing Python packages.

In plain words
What is it for?
Setting up, running, testing, formatting, and linting the aws-mcp-server-devops-ai project.
Why use it?
It gives developers the commands and project conventions needed to install dependencies, run the server, test it, and check code quality.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md.

This is saifeezibrahim/aws-mcp-server-devops-ai's own configuration. It tells Claude Code how to work on aws-mcp-server-devops-ai 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 aws-mcp-server-devops-ai configures →

Reuse

Borrowing it

Nothing to install: this file belongs to saifeezibrahim/aws-mcp-server-devops-ai. 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/saifeezibrahim/aws-mcp-server-devops-ai/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/saifeezibrahim/aws-mcp-server-devops-ai

Made for: Claude Code.

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Per session 1,151 This file is loaded in full into every session.
When invoked 1,151 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 $0.01151 $0.01151
Opus 5 $0.00575 $0.00575
Sonnet 5 $0.00230 $0.00230
Haiku 4.5 $0.00115 $0.00115

Measured 8d ago against content hash 2781e56c6830, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

aws-mcp-server-devops-ai CLAUDE.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 8d 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.

CLAUDE.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AWS MCP Server Development Guide

Build & Test Commands

Using uv (recommended)

  • Install dependencies: uv pip install --system -e .
  • Install dev dependencies: uv pip install --system -e ".[dev]"
  • Update lock file: uv pip compile --system pyproject.toml -o uv.lock
  • Install from lock file: uv pip sync --system uv.lock

Using pip (alternative)

  • Install dependencies: pip install -e .
  • Install dev dependencies: pip install -e ".[dev]"

Running the server

  • Run server: python -m aws_mcp_server
  • Run server with SSE transport: AWS_MCP_TRANSPORT=sse python -m aws_mcp_server
  • Run with MCP CLI: mcp run src/aws_mcp_server/server.py

Testing and linting

  • Run tests: pytest
  • Run single test: pytest tests/path/to/test_file.py::test_function_name -v
  • Run tests with coverage: python -m pytest --cov=src/aws_mcp_server tests/
  • Run linter: ruff check src/ tests/
  • Format code: ruff format src/ tests/

Technical Stack

  • Python version: Python 3.13+
  • Project config: pyproject.toml for configuration and dependency management
  • Environment: Use virtual environment in .venv for dependency isolation
  • Package management: Use uv for faster, more reliable dependency management with lock file
  • Dependencies: Separate production and dev dependencies in pyproject.toml
  • Version management: Use setuptools_scm for automatic versioning from Git tags
  • Linting: ruff for style and error checking
  • Type checking: Use VS Code with Pylance for static type checking
  • Project layout: Organize code with src/ layout

Code Style Guidelines

  • Formatting: Black-compatible formatting via ruff format
  • Imports: Sort imports with ruff (stdlib, third-party, local)
  • Type hints: Use native Python type hints (e.g., list[str] not List[str])
  • Documentation: Google-style docstrings for all modules, classes, functions
  • Naming: snake_case for variables/functions, PascalCase for classes
  • Function length: Keep functions short (< 30 lines) and single-purpose
  • PEP 8: Follow PEP 8 style guide (enforced via ruff)

Read the full file on GitHub · 92 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. 8d ago First seen · 92 lines · 1,151 tokens per session scan A 2781e56c6830

Subscribe to this mod's changes

aws-mcp-server-devops-ai CLAUDE.md is an instructions file published in the GitHub repository saifeezibrahim/aws-mcp-server-devops-ai (0 stars, last pushed 9mo ago), licensed MIT. It adds 1,151 tokens to every session, about $0.0058 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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