merch-connector
MCP server that gives merchandising agents eyes on any storefront — scrape, audit, compare, roundtable analysis, and eval tracking via 11 tools.
AI & MLnpx -y merch-connector{
"mcpServers": {
"merch-connector": {
"command": "npx",
"args": [
"-y",
"merch-connector"
]
}
}
}merch-connector is a community MCP server that connects AI assistants like Claude to mcp server that gives merchandising agents eyes on any storefront — scrape, audit, compare, roundtable analysis, and eval tracking via 11 tools. It runs locally on your machine, keeping your data private and giving you full control over the connection. AI engineers can use it to chain models and pipelines into more powerful workflows.
About merch-connector
Overview
MCP server that gives merchandising agents eyes on any storefront — scrape, audit, compare, roundtable analysis, and eval tracking via 11 tools.
Links
Topics
mcp, mcp-server, merchandising, ecommerce, scraper, audit, storefront, puppeteer, claude, gemini, model-context-protocol
Who Should Use merch-connector?
- 1Chain AI models and pipelines through a unified MCP interface
- 2Let Claude orchestrate other AI tools and models
- 3Integrate embeddings, image generation, or speech APIs into your workflow
- 4Build multi-model workflows without writing custom integration code
How to Install merch-connector
Before you start
You will need Node.js (v18 or later) installed on your machine — download it from nodejs.org if you haven't already.
- 1Open a terminal (Terminal on Mac, Command Prompt or PowerShell on Windows).
- 2Paste the install command above and press Enter — Node.js will download and run the server automatically.
- 3Add the server to your Claude Desktop config file (see the JSON snippet above) and restart Claude.
The Claude Desktop config snippet above can be copied and pasted directly into your claude_desktop_config.json file — no editing required.