MCP server wrapping the Shopline Open API into 143 AI Agent-callable tools for e-commerce data analysis
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"mcp-shopline","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# 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) [](https://modelcontextprotocol.io/) [繁體中文](README.zh-TW.md) An open-source [MCP (Model Context Protocol)](https://modelcontextprotocol.io/) server that wraps the [Shopline Open API](https://open-api.docs.shoplineapp.com/docs/getting-started) into 143 AI-callable tools (75 read + 68 write) for e-commerce data analysis. Built for [Claude Code](https://claude.ai/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 - **143 ready-to-use tools** covering orders, products, inventory, customers, promotions, categories, subscriptions, conversations, reviews, and more - **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 timest…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.