Google PageRank for AI agents. 25,000+ tools indexed.

welink MCP Server

runzhliu/welink

Score: 77.8 Rank #2503 MCP Server
[![AgentRank](https://agentrank-ai.com/api/v1/badge/runzhliu--welink)](https://agentrank-ai.com/tool/runzhliu--welink/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)
Are you the maintainer of runzhliu/welink? Claim this listing →

🔍微信聊天数据分析的本地化AI-agent(Docker/Windows/MacOS) · AI分身 / 大模型分析 / 好友排行 / 词云 / 情感趋势 / 群聊画像

Add AgentRank to Claude Code Discover and compare tools like runzhliu/welink — your AI finds the right one automatically
Get API Access →
claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

runzhliu/welink is a TypeScript tool licensed under AGPL-3.0. 🔍微信聊天数据分析的本地化AI-agent(Docker/Windows/MacOS) · AI分身 / 大模型分析 / 好友排行 / 词云 / 情感趋势 / 群聊画像 Topics: wechat, weixin, chat-analysis, chat-history, macos, mcp-server, chat-mcp, llm, skill, skills.

Ranked #2503 out of 24846 indexed tools.

Ecosystem

TypeScript AGPL-3.0
wechatweixinchat-analysischat-historymacosmcp-serverchat-mcpllmskillskills

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 292

292 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 74%

23/31 issues closed → decent issue management

Contributors 10% 2

2 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 61
Description Good
License AGPL-3.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Freshness high impact

Last commit was 34 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

AgentRank score for runzhliu/welink
[![AgentRank](https://agentrank-ai.com/api/v1/badge/runzhliu--welink)](https://agentrank-ai.com/tool/runzhliu--welink/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)
<a href="https://agentrank-ai.com/tool/runzhliu--welink/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/runzhliu--welink" alt="AgentRank"></a>

Embed Widget docs →

Embed a rich score widget on your site or blog.

<script src="https://agentrank-ai.com/embed.js" data-tool="runzhliu/welink"></script>

Matched Queries

topic:mcp-server

From the README

<p align="center">
  
</p>

<h1 align="center">WeLink</h1>

<p align="center"><strong>AI 驱动的微信聊天数据分析平台</strong></p>

<p align="center">
  <a href="https://github.com/runzhliu/welink/actions/workflows/docker-publish.yml">
    
  </a>
  <a href="https://github.com/runzhliu/welink/pkgs/container/welink%2Fbackend">
    
  </a>
  <a href="https://github.com/runzhliu/welink/pkgs/container/welink%2Ffrontend">
    
  </a>
  <a href="LICENSE">
    
  </a>
  <a href="https://github.com/runzhliu/welink/stargazers">
    
  </a>
  
  
  
  <br/><br/>
  <a href="https://welink.click"><strong>官方文档</strong></a> &nbsp;·&nbsp;
  <a href="https://demo.welink.click"><strong>在线 Demo</strong></a>
</p>

你的微信聊天记录里,藏着你和每个人关系最真实的样子。WeLink 把这些数据交给 AI 来读——不只是统计图表,而是能让你直接提问、得到洞察:

> 「我和 XXX 的关系在哪个阶段最好?后来发生了什么?」
>
> 「这个群里真正活跃的人是谁?他们通常聊什么?」
>
> 「我今年和哪些朋友聊得越来越少了?」

所有数据留在本地,不上传任何服务器。

---

## 功能示例

> 点击可放大查看

| AI 分身 | AI 分析 |
|:---:|:---:|
|  |  |
| **AI 群聊** | **AI 首页** |
|  |  |
| **快速入门引导** | **好友总览** |
|  |  |
|
Read full README on GitHub →

Get the weekly AgentRank digest

Top movers, new tools, ecosystem insights — straight to your inbox.