OpenClaw, an AI assistant platform, is rolling out significant updates to its Microsoft Teams integration, moving to a plugin-based system designed to streamline setup and improve functionality. The changes, announced earlier this month, aim to simplify the often-complex process of connecting AI tools with the popular collaboration platform.
The shift comes as demand grows for integrating AI directly into workplace communication tools like Teams. OpenClaw’s updated approach focuses on ease of use and expanded capabilities, allowing users to leverage AI for tasks ranging from responding to direct messages to managing channel conversations. This move aligns with Microsoft’s broader push to embed AI features across its suite of products, signaling a growing synergy between the two platforms.
Previously, integrating OpenClaw with Teams could be a cumbersome process involving multiple configurations and potential firewall issues. As of January 15, 2026, the Microsoft Teams integration moved out of the core package, according to OpenClaw documentation. The new plugin system, accessible through the OpenClaw command-line interface, simplifies installation and configuration. Users can install the plugin with the command openclaw plugins install @openclaw/msteams, or, if running from a git repository, openclaw plugins install ./extensions/msteams.
Setting Up the New Integration
The core of the updated integration relies on an Azure Bot resource. Users will need an Azure account with the necessary permissions to create a bot, and a registered Azure Bot with an App ID, App Password (client secret), and Tenant ID. A Teams App Manifest (manifest.json) with appropriate configuration, scopes, and icons is also required. OpenClaw receives webhook events from the Bot Framework at /api/messages and responds through the Teams messaging API, supporting threaded replies and Adaptive Cards.
The process involves three key steps: installing the Teams plugin, creating the Azure Bot, and configuring OpenClaw with the bot’s credentials. Once the Azure Bot is created, users can retrieve the App ID, client secret, and Tenant ID from the Azure portal. These credentials are then added to the OpenClaw configuration file (openclaw.json) or set as environment variables (MSTEAMS_APP_ID, MSTEAMS_APP_PASSWORD, and MSTEAMS_TENANT_ID). Finally, the messaging endpoint must be set, and the Teams channel enabled within the Azure Bot configuration.
Current Capabilities and Limitations
The updated OpenClaw integration currently supports text messages, media and files, reactions, and threads. However, voice messages are not yet supported. File sharing within Teams channels and group chats currently requires SharePoint integration and Microsoft Graph permissions. According to OpenClaw documentation, the integration supports deterministic routing, ensuring replies always return to the originating channel.
OpenClaw’s documentation highlights the importance of understanding Teams RSC (Resource-Specific Consent) permissions and the Microsoft Graph API. With Teams RSC only, the app is installed without Graph API permissions. However, enabling Graph-enabled media and history requires additional permissions. The documentation also notes potential limitations, including webhook timeouts and formatting considerations.
Looking Ahead
The move to a plugin-based system represents a significant step towards simplifying AI integration within Microsoft Teams. As OpenClaw continues to refine the plugin and address current limitations, users can expect a more seamless and powerful AI-assisted experience within their Teams workflows. Future development will likely focus on expanding file-sharing capabilities and potentially adding support for voice messages. The ongoing collaboration between OpenClaw and Microsoft promises to unlock further potential for AI-driven productivity within the Teams ecosystem.
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