Borrowing it
Nothing to install: this file belongs to asgard-ai-platform/mcp-shopline. 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/asgard-ai-platform/mcp-shopline/main/CLAUDE.mdgit clone --depth 1 https://github.com/asgard-ai-platform/mcp-shoplineWrote 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/asgard-ai-platform/mcp-shopline/claude-md)<a href="https://agentmods.dev/instructions/asgard-ai-platform/mcp-shopline/claude-md"><img src="https://agentmods.dev/badge/instructions/asgard-ai-platform/mcp-shopline/claude-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/asgard-ai-platform/mcp-shopline/claude-md"><img src="https://agentmods.dev/badge/instructions/asgard-ai-platform/mcp-shopline/claude-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 | $0.01400 | $0.01400 |
| Opus 5 | $0.00700 | $0.00700 |
| Sonnet 5 | $0.00280 | $0.00280 |
| Haiku 4.5 | $0.00140 | $0.00140 |
Grade A, and why
mcp-shopline 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 104 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
Shopline API MCP Server. Wraps the Shopline Open API into 143 AI Agent-callable tools (75 read + 68 write) for e-commerce data analysis (orders, products, inventory, customer behavior). Includes a stdio MCP server for Claude Code / Cowork integration.
Code comments and tool descriptions are in Traditional Chinese (zh-Hant). The only external dependency is requests.
Setup & Running
pip install requests
export SHOPLINE_API_TOKEN=your_token_here
# Run the MCP server directly (stdio JSON-RPC 2.0)
python mcp_server.py
# Or auto-detected via .mcp.json when opened in Claude Code
Running Tests
# End-to-end test for all 143 tools (hits live Shopline API)
python tests/test_all_tools.py
# API connection & endpoint accessibility check
python scripts/auth/test_connection.py
# Explore raw API response structures
python scripts/auth/inspect_data_structure.py
No test framework — tests are standalone scripts. All tests hit the live API and require SHOPLINE_API_TOKEN environment variable.
Architecture
Request Flow
mcp_server.py (import triggers @mcp.tool registration) -> tools/*.py + tools/writes/*.py (business logic) -> base_tool.py (HTTP client) -> config/settings.py (URL + auth)
API Layer (config/ + tools/base_tool.py)
config/settings.py— API base URL, token from env, endpoint map (ENDPOINTSdict with 135 path templates)tools/base_tool.py— Shared HTTP client with retry (exponential backoff), pagination (fetch_all_pages), date-segmented pagination for >10k results (fetch_all_pages_by_date_segments), and helpers (money_to_float,get_translation). Read methods:api_get. Write methods:api_post,api_put,api_patch,api_delete.
Tools Layer (tools/)
Read tool modules under tools/ — each decorated with @mcp.tool():
order_tools.py(12): query_orders, get_sales_summary, get_top_products, get_sales_trend, get_channel_comparison, get_order_detail, get_refund_summary, and moreproduct_tools.py(9): get_product_list, get_product_variants, get_inventory_overview, get_low_stock_alerts, get_warehouses, get_stock_by_warehouse, and moreanalytics_tools.py(11): get_rfm_analysis, get_repurchase_analysis, get_customer_geo_analysis, get_inventory_turnover, get_category_sales, get_promotion_analysis, and morecustomer_tools.py,customer_group_tools.py,store_credit_tools.py,membership_tier_tools.py,member_point_tools.pycustom_field_tools.py,category_tools.py,promotion_tools.py,flash_price_tools.py,affiliate_tools.pygift_tools.py,addon_product_tools.py,subscription_tools.py,return_order_tools.py,order_delivery_tools.pyconversation_tools.py,review_tools.py,merchant_tools.py,payment_tools.py,delivery_option_tools.pychannel_tools.py,settings_tools.py,tax_tools.py,staff_tools.py,token_tools.py,agent_tools.py
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.
- 12d ago First seen · 104 lines · 1,400 tokens per session scan A ebba16b07384
mcp-shopline CLAUDE.md is an instructions file published in the GitHub repository asgard-ai-platform/mcp-shopline (20 stars, last pushed 4mo ago), licensed MIT. It adds 1,400 tokens to every session, about $0.0070 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 2026-08-30.
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