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Hand Marketing MCP Server

Hand Marketing MCP Server

Remote
github.com/koudaiDemonBusiness & Marketing0Updated 80w ago
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About Hand Marketing MCP Server

Hand Marketing MCP Server analyzes conversations, extracts preference and context tags, and matches them with product tags in industry databases. It is intended for recommendation scenarios such as e-commerce and travel, where tailored results can reduce irrelevant choices.

Key features

  1. 01Conversation tag extraction
  2. 02Product tag matching
  3. 03Cross-industry database support
  4. 04Personalized product recommendations
  5. 05Filtering irrelevant options

Use cases

  1. 01Recommending products from shopping conversations
  2. 02Matching travel preferences to tagged offerings

MCP support

The server provides conversation analysis, tag matching, and recommendation capabilities to MCP clients. It is configured with an authentication key and connected through the supplied SSE URL.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.linkcrm.cn/sse?key=xxxxx
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

Hand Marketing MCP Server

This MCP Server analyzes user conversations to accurately extract multi-dimensional tags, intelligently matches them with product tags from an industry database, and thereby provides users with highly tailored product recommendations that align with their needs—enhancing both shopping experience and conversion rates.

Features

  • Conversation Analysis & Tag Extraction: Function: Analyzes user dialogues to extract multi-dimensional tags (e.g., preferences, scenarios, budgets) via NLP.
  • Intelligent Tag Matching: Dynamically aligns user tags with product tags from an industry database using rule-based or ML-driven algorithms.
  • Scalability & Real-Time Processing: Supports cross-industry databases (e-commerce, travel, etc.).
  • Personalized Recommendation Engine: Generates highly tailored product recommendations based on matched tags, optimizing relevance and ranking.
  • Performance Optimization: Reduces decision fatigue by filtering irrelevant options.

Prerequisites

  • Get Hand Marketing MCP Server Auth Key

Getting started

  • Configure

Please set the value for auth key

{
  "mcpServers": {
    "hand-marketing-mcp-sse": {
      "url": "https://mcp.linkcrm.cn/sse?key=xxxxx"
    }
  }
}
  • Run Use Hand Marketing MCP Server in a MCP client, like 火山方舟/Cursor/Claude macOS app/Cherry Studio.

Comments

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