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mcp-shopline

MCP Tool

asgard-ai-platform/mcp-shopline

MCP server wrapping the Shopline Open API into 19 AI Agent-callable tools for e-commerce data analysis

Install

$ npx loaditout add asgard-ai-platform/mcp-shopline

Platform-specific configuration:

.claude/settings.json
{
  "mcpServers": {
    "mcp-shopline": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-shopline"
      ]
    }
  }
}

Add the config above to .claude/settings.json under the mcpServers key.

About

MCP Shopline

[](https://pypi.org/project/mcp-shopline/) [](https://pypi.org/project/mcp-shopline/) [](https://opensource.org/licenses/MIT) [](https://github.com/asgard-ai-platform/mcp-shopline/stargazers) [](https://github.com/asgard-ai-platform/mcp-shopline/issues) [](https://github.com/asgard-ai-platform/mcp-shopline/commits/main)

繁體中文

An open-source MCP (Model Context Protocol) server that wraps the Shopline Open API into 19 AI-callable tools for e-commerce data analysis.

Built for Claude Code, Claude Cowork, and any MCP-compatible AI client. Enables AI agents to query orders, products, inventory, customer behavior, and promotions from Shopline stores through natural language.

What This Does
  • 19 ready-to-use tools covering orders, products, inventory, customer analytics, and promotions
  • MCP server (stdio JSON-RPC 2.0) — plug into Claude Code and start asking questions immediately
  • Zero external dependencies beyond Python 3.9+ standard library and requests
  • Built-in pagination, retry, and rate limiting — tools handle all API complexity internally
  • Designed for AI agents — structured JSON output with natural language-friendly parameters (dates as YYYY-MM-DD, not timestamps)
API Reference

This project is built on the Shopline Open API v1.

  • API Documentation: https

Tags

agentic-aiai-agentecommercemcpmcp-servermodel-context-protocolpythonretail

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Quality Signals

10
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Last updated14 days ago
Security: AREADME

Safety

Risk Levelmedium
Data Access
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Network Accessnone

Details

Sourcegithub-crawl
Last commit4/3/2026
View on GitHub→

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