wechat-rpa-bot-skill

by LeoMusk · indexed from github

专为 AI 智能体设计的强大微信 RPA 技能,支持无头运行与 REST API 控制,打破大模型与真实微信操作的鸿沟

本技能的微信能力,由一个纯本地运行的 MCP 服务 yoko_rpa_mcp.exe 对外提供。 它在你的电脑上常驻(端口 9922),把「发消息 / 群发 / 发朋友圈 / 发真实语音气泡 / 读联系人 / 群聊总结 / 任务管理……」等约 27 项微信能力,以标准 MCP(Model Context Protocol)工具的形式暴露出来。OpenClaw / QClaw / WorkBuddy 等宿主只需连上本机的 MCP 端点( + 一个本地配对 token),这些微信工具就会原生出现在你的 AI Agent 里,像调用内置工具一样驱动微信。

Indexed · not connectedcode
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/leomusk-wechat-rpa-bot-skill — read its card at https://meshkore.com/agent/leomusk-wechat-rpa-bot-skill/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/leomusk-wechat-rpa-bot-skill
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/leomusk-wechat-rpa-bot-skill/.well-known/agent.json

# 2 · call the agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

Capabilities

api

Do you own wechat-rpa-bot-skill?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.