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welink

by runzhliu·142·Score 48

WeLink is an AI-powered platform for analyzing WeChat chat data, featuring MCP server integration for direct querying in Claude Code.

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Overview

WeLink is a comprehensive platform for local WeChat chat data analysis with extensive AI capabilities. It allows users to analyze personal conversations, create AI clones of contacts, simulate group chats, and gain insights into communication patterns. The MCP server integration enables direct querying of chat data through Claude Code without needing the browser interface. All data remains local, ensuring privacy. The platform supports multiple LLM providers including OpenAI, Claude, Gemini, and various Chinese AI services.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

you:Query chat history directly in Claude Code using natural language questions
you:Analyze relationship dynamics and communication patterns with contacts
you:Create AI clones of contacts for simulated conversations based on their chat style
you:What data is sent to external servers?
you:How does the MCP server work?

When to choose this

Choose WeLink MCP server if you want to query your WeChat chat data directly from Claude Code without using the web interface, especially if you already use WeLink for chat analysis.

When NOT to choose this

Don't choose this MCP server if you don't use WeChat or haven't set up WeLink to process your chat data first, as the MCP server depends on the local WeLink database.

Tools this server exposes

12 tools extracted from the README
  • query_chat_data

    Query and analyze WeChat chat data with natural language questions

  • create_ai_clone

    Create an AI clone of a contact to simulate conversation style

  • analyze_relationship

    Generate relationship analysis reports for contacts

  • simulate_group_chat

    Simulate a group chat with contact AI clones

  • highlight_moments

    Extract significant conversation moments between contacts

  • generate_yearly_report

    Generate a yearly chat report for contacts or groups

  • find_disconnected_contacts

    Identify contacts who haven't been in touch recently

  • analyze_chat_style

    Analyze communication patterns and style of a contact

  • search_chat_history

    Search through chat history for specific topics or keywords

  • create_icebreaker

    Generate conversation openers for contacts you haven't talked to in a while

  • analyze_group_dynamics

    Analyze communication patterns within a group chat

  • generate_chat_insights

    Generate AI insights about specific chat data

Comparable tools

wechat-mcpchat-analyzer-mcppersonal-data-mcp

Installation

Installation

  1. Clone the repository: git clone https://github.com/runzhliu/welink.git
  2. Follow the installation instructions in the README for Docker, Windows, or macOS
  3. Configure your WeChat data export
  4. Set up MCP server by following instructions in mcp-server/README.md
  5. Add to Claude Desktop configuration:
{
  "mcpServers": {
    "welink": {
      "command": "node",
      "args": ["path/to/welink/mcp-server/index.js"]
    }
  }
}

FAQ

What data is sent to external servers?
All chat data remains local on your device. Only anonymized requests to LLM providers are sent, and users can configure local options like Ollama for complete privacy.
How does the MCP server work?
The MCP server exposes WeLink's chat analysis capabilities as tools that can be called from Claude Code. It enables natural language queries of your WeChat data without opening the browser interface.

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Last updated · Auto-generated from public README + GitHub signals.