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微信聊天数据分析 MCP Setup & Guide

MCP ServerGitHub 中文

io.github.runzhliu/welink

本地运行的微信聊天记录分析服务：AI 分身、好友互动排行、词频与话题统计，数据不出本机。

View on GitHub 中文 ↗Repository ↗

Copy the install config on this page first, then verify docs and permissions upstream.

Popularity

Stars306

Overview

本地运行的微信聊天记录分析服务：AI 分身、好友互动排行、词频与话题统计，数据不出本机。 微信聊天数据分析 is a MCP Server listed from GitHub CN. This page includes an overview, setup tutorial, install commands, and use cases for Trae, Tongyi Lingma, Cursor, Claude Code, and VS Code.

国内服务微信聊天记录本地部署

Use cases

Code review & GitHubChina servicesCursor essentials

AgentHub Verified AvailabilityTested & Ready

Automated pipeline validated install commands, protocol & client compatibility

Verified At2026-10-29
Install Snippets TestedCLI & JSON config syntax verified
Protocol Handshake ReadyComplies with JSON-RPC 2.0 specifications
Origin Registry ActiveSourced from github-cn
Verified ClientsClaude Code、Claude Desktop、Cursor 等
Security Tier: A+ 级 · 零权限本地沙盒 (A+)·Scanned for high-risk vulnerabilities. Recommended to run with project-scoped permissions.
No auto-generated install guide — see the source repository README.

Troubleshooting & Common ErrorsFAQ

Common connection errors and verified fixes for 微信聊天数据分析

Getting 'connection closed' or exit code 1 in Cursor / Claude Code for 微信聊天数据分析?

Usually caused by missing runtime paths or IDE environment inheritance. Fix steps: 1. Verify Node.js 18+ (npx) or Python 3.10+ (uvx) is installed; 2. Run 'which npx' or 'which uvx' in terminal, and replace 'command' with absolute path; 3. Reload or restart the client window after modifying config.

Fix Snippet
# Check binary path in terminal:
which npx
node -v
Getting 'spawn npx ENOENT' or 'command not found'?

The editor background process does not inherit your full terminal PATH. Solution: Globally install the package, or set the absolute binary path (e.g. C:\Program Files\nodejs\npx.cmd on Windows, or /usr/local/bin/npx on macOS).

Tool calls timing out or failing to download packages?

First-time package downloading might be slow or timeout due to network limits. Configure a reliable mirror or check outbound proxy settings.

Still not connecting? Read the MCP troubleshooting guide →

Tool Mock Playground

Sandbox

微信聊天数据分析 Tool Interface Simulation · Preview tool schema & outputs without local runtime

Sandbox Ready
fn: welinkExecute the core tool interface of 微信聊天数据分析
Request ArgumentsJSON Schema
{
  "target": "微信聊天数据分析",
  "action": "execute",
  "options": {
    "mode": "standard",
    "timeoutMs": 5000
  }
}
💡Parameters generated dynamically by Agent runtime
Agent Tool Output

Click 'Run Mock' above

to preview the raw response returned to the LLM

Env: AgentHub Virtual SandboxJSON-RPC 2.0

Decision Guide: Why & When to Use

Assess suitability before installing to save trial-and-error time

Best Suited For
  • PR review
  • Changelog generation
  • Cross-repo issue search
When NOT to Use
  • Replacing human security audit
  • Unauthorized repo access
Recommended Workflow Pairing:View Scenario →

微信聊天数据分析 + Scenario Prompt → Complete Agent Automation

MCP hands-on: install to visible results

Follow the full lab (expected UI/output + contrast checks). After installing this item, verify with the tutorial prompts.

Open tutorial →

Related resources

Often paired with

中文公文写作

v2.0.46

SkillClawHub7210.6k

io.clawhub.gongyu0918-debug/chinese-official-writing

用于中文公文、事务性材料和新闻稿件的起草、改写、压缩、润色、审校、文种核对、去口语化、降 AI 味及 Word 格式处理，适用于机关、企事业单位、学校和新闻机构。涵盖申请、请示、报告、通知、通告、意见、决定、决议、议案、公报、命令、函、复函、批复、说明、方案、纪要、公告、公示、通报、制度、规定、办法、细则、操作规程、工作要点、总结、调研、讲话、致辞、主持词、述职、可研、审查材料、技术需求、新闻消息、编者按、新闻评论，以及采购、整改、反馈和 AI 算力等场景。

source
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Copy either snippet into your project homepage, docs, or GitHub README. The badge is a hotlinked SVG — nothing to host — and it links back to this page so visitors can find the install steps.

PreviewListed on AgentHub: 微信聊天数据分析
HTML
<a href="https://myagenthub.cn/p/io.github.runzhliu/welink" title="Listed on AgentHub: 微信聊天数据分析" target="_blank" rel="noopener">
  <img src="https://myagenthub.cn/badge/io.github.runzhliu/welink?lang=en" alt="Listed on AgentHub: 微信聊天数据分析" height="20" style="border:0"/>
</a>
Markdown (GitHub README)
[![Listed on AgentHub: 微信聊天数据分析](https://myagenthub.cn/badge/io.github.runzhliu/welink?lang=en)](https://myagenthub.cn/p/io.github.runzhliu/welink)

Badges are generated on the fly from /badge/<package-id>, so name and listing changes propagate automatically. Keep the link target unchanged — it is what counts as the referral.

Unified Manifest

{
  "id": "io.github.runzhliu/welink",
  "type": "mcp-server",
  "version": "latest",
  "displayName": "微信聊天数据分析",
  "description": "本地运行的微信聊天记录分析服务：AI 分身、好友互动排行、词频与话题统计，数据不出本机。",
  "author": {
    "name": "runzhliu",
    "url": "https://github.com/runzhliu"
  },
  "license": "AGPL-3.0",
  "repository": {
    "url": "https://github.com/runzhliu/welink",
    "source": "github"
  },
  "homepage": "https://welink.click",
  "distribution": {
    "packages": [
      {
        "registryType": "source",
        "identifier": "runzhliu/welink",
        "runtimeHint": "docker compose up 后由内置 mcp-server 提供，配置见仓库 mcp-server/README.md"
      }
    ],
    "remotes": []
  },
  "dependencies": [],
  "installTargets": [
    "claude-code",
    "claude-desktop",
    "cursor",
    "vscode",
    "trae",
    "cherry-studio",
    "lingma",
    "windsurf",
    "cline",
    "workbuddy"
  ],
  "keywords": [
    "stars:306",
    "国内服务",
    "微信",
    "聊天记录",
    "本地部署"
  ],
  "provenance": {
    "origin": "github-cn",
    "originalId": "runzhliu/welink",
    "originalUrl": "https://github.com/runzhliu/welink",
    "isOfficial": false,
    "status": "active"
  }
}
微信聊天数据分析 MCP Setup & Guide - AgentHub