Integrate Enterprise WeChat with OpenClaw Locally—No Public IP or Callbacks Required
This step‑by‑step guide shows how to connect Enterprise WeChat (WeCom) to OpenClaw without needing a public IP or callback configuration, covering bot creation, plugin installation, channel setup, pairing, testing, and future extension possibilities.
Overview
The author announces that OpenClaw now officially supports Enterprise WeChat, allowing both single‑chat and group‑chat integration without requiring a public IP or external callbacks, and can run on a local terminal or Tencent Cloud Lighthouse.
Preparation
OpenClaw – installed and running.
Enterprise WeChat – registered and usable.
Step 1: Create a WeChat Bot
Log in to the Enterprise WeChat admin console (work.weixin.qq.com), navigate Security & Management → Management Tools → Smart Robot , click Create Bot , choose API mode , and scroll to the bottom to obtain the Bot ID and Secret . These credentials are needed later.
Step 2: Install the Official WeCom Plugin
Run the following command in a terminal to install the plugin:
openclaw plugins install @wecom/wecom-openclaw-pluginRestart the OpenClaw gateway to activate the plugin:
openclaw gateway restartAdd a new channel:
openclaw channels addSelect Yes to enable the channel, choose Enterprise WeChat (WeCom) , and paste the previously saved Bot ID and Secret. Confirm the configuration, enable Pairing mode, and set No for automatic approval to use manual pairing.
Step 3: Pair and Test
In the Enterprise WeChat admin, locate the newly created bot and click Save . Edit the bot’s avatar, name, and description, then click Confirm . Add the desired organization or users and click Add , then Save .
Open the WeChat client, search for the bot, and send a message. The bot returns a pairing code .
Back in the terminal, approve the pairing using the code:
openclaw pairing approve wecom <pairing code>Send another message in WeChat; a successful reply confirms the integration.
Beyond Adding a Channel
The integration is more than just an extra channel; it upgrades the scenario to enable structured data handling via Smart Sheet webhook and action automation through the Enterprise WeChat API . This paves the way for AI assistants to operate directly within Enterprise WeChat, moving AI deployment from demos to everyday use.
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SpringMeng
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