mcp-coupang-server: Instructions file for Claude Code

CLAUDE.md

mcp-coupang-server CLAUDE.md is an instructions file for Claude Code from space-cap/mcp-coupang-server. It costs 1,966 tokens per session, scanned A, original, MIT.

Project instructions for Claude Code, an AI coding assistant, in a Python server that connects to Coupang’s partner API.

In plain words
What is it for?
They help maintain the server, install dependencies with uv, run it, and test features such as product search, category best sellers, and affiliate links.
Why use it?
They give the assistant the project background, setup commands, available tools, and testing guidance needed to work consistently in the repository.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code.

This is space-cap/mcp-coupang-server's own configuration. It tells Claude Code how to work on mcp-coupang-server 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 mcp-coupang-server configures →

Reuse

Borrowing it

Nothing to install: this file belongs to space-cap/mcp-coupang-server. 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/space-cap/mcp-coupang-server/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/space-cap/mcp-coupang-server

Made for: Claude Code.

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Per session 1,966 This file is loaded in full into every session.
When invoked 1,966 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 $0.01966 $0.01966
Opus 5 $0.00983 $0.00983
Sonnet 5 $0.00393 $0.00393
Haiku 4.5 $0.00197 $0.00197

Measured 8d ago against content hash 1d994e4b8775, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

mcp-coupang-server 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 · 238 lines

How it starts

The opening of the file, as written. The whole thing — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

This is an MCP (Model Context Protocol) server for Coupang Partners API integration. The project is PRODUCTION READY and published on PyPI as mcp-coupang-server.

MCP is a protocol that allows AI models to interact with external tools and data sources through standardized server implementations. This server enables Claude Desktop to search products, get category best sellers, and create affiliate deeplinks using Coupang Partners API.

Project Status

  • Version: 1.0.0
  • Published on PyPI: pip install mcp-coupang-server
  • All Tests Passing: 54 tests (unit + integration)
  • Active Tools: 3 tools (search_products, get_best_products_by_category, create_deeplinks)
  • Disabled Tools: get_product_details (commented out, not in use)

Development Setup

This project uses uv for Python package management (Python 3.13+).

Install Dependencies

uv sync

Run the Server

uv run python main.py

Run Tests

# All tests
uv run pytest

# Specific test file
uv run pytest tests/test_client.py

# With coverage
uv run pytest --cov=src --cov-report=html

MCP Server Architecture

MCP servers expose tools, resources, and prompts that AI models can use. This server implements the MCP protocol using the mcp package (version >=1.19.0).

Key Concepts

  • Tools: Functions that the AI can call to perform actions (e.g., search products, get best products by category, create deeplinks)
  • Resources: Data sources that can be read (currently not implemented)
  • Prompts: Pre-defined prompt templates for common tasks (currently not implemented)

Server Structure

  • Server initialization using mcp.server.Server() in src/server.py
  • Tool handlers with @server.list_tools() and @server.call_tool() decorators
  • Server running via stdio transport for Claude Desktop integration
  • Asynchronous HTTP client using aiohttp in src/coupang_client.py

Read the full file on GitHub · 238 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 · 238 lines · 1,966 tokens per session scan A 1d994e4b8775

Subscribe to this mod's changes

mcp-coupang-server CLAUDE.md is an instructions file published in the GitHub repository space-cap/mcp-coupang-server (0 stars, last pushed 10mo ago), licensed MIT. It adds 1,966 tokens to every session, about $0.0098 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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