WeChat Dot Bridge
Connects to an existing OpenAI dot to forward WeChat messages to the dot and return its replies, while the dot continues to provide model capabilities.
Enables chatting with an existing OpenAI dot through WeChat, handling incoming and outgoing text, images, files, videos, voice, quoted content, and message delivery status.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
WeChat Dot Bridge
在微信里和你已有的 OpenAI dot 聊天。
你发来文字、图片或文件,桥接把来信交给 dot,再把它的回复送回同一个微信对话。模型能力仍由原 dot 提供,桥接本身只负责消息收发。
能做什么
文字聊天,同一条来信可以先回进度,再回结果;长回复自动分段。
收取和回传图片、文件、视频,读取文本附件,处理引用内容。
接收微信语音及平台提供的转写;其他音频转换需要可选编解码器。
保存待处理消息和发送状态,提供输入提示、备份与故障恢复。
本人课表提醒:导入一份学期课表,每天首课前 15 分钟发送当天课程;无课或错过时间跳过。
当前是 0.1.0 实验性版本,面向 Linux / systemd 和本人单账号私聊。具体能力和微信端确认情况见 能力说明。
Related MCP server: WeixinClaw Bridge MCP
开始使用
接入需要已有 dot、个人开发者插件权限,以及仅自己可用的 Secure MCP Tunnel 和 MCP Events 能力。先确认账户具备这些条件,再准备 Python 3.11+ 和 uv。
在源码目录安装锁定的依赖:
uv sync --locked --all-extras接下来按 安装指南准备本机服务和微信绑定,再按 dot 接入说明连接你原来的 dot。安装脚本会生成配置,服务由你确认后启动。
插件应只供自己使用。消息和附件保存在本机私有目录;dot 读取后的内容仍会进入你的 OpenAI 会话。发送结果不确定时会保留 uncertain,由你核对后处理。
文档
实现与致谢
Python、官方 MCP SDK、AnyIO、HTTPCore、Standard Webhooks 和 SQLite 负责协议与运行机制,依赖版本保存在 uv.lock。
微信协议参考 Tencent/openclaw-weixin,微信通道和会话生命周期参考 cc-connect 的固定版本;参考版本、调用链和适配差异见 上游审查。
Tool Schema Changelog
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Maintenance
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