Otter launches enterprise search via Model Context Protocol

Following competitors in the meeting assistant space like Read AI, Fireflies.ai, and Fathom, Otter is expanding its platform by launching an enterprise search feature. By acting as a Model Context Protocol (MCP) client—a standard for connecting artificial intelligence tools to external data sources—the platform can now pull and query information from outside services. This launch represents a broader shift among AI meeting notetaker companies, which are moving from simple transcription services toward full workspace models that integrate data from various enterprise tools to justify their business models. Users can now connect their accounts from Gmail, Google Drive, Notion, Jira, and Salesforce to search across their external files and meeting notes simultaneously.

The company, which has been around for nearly a decade, has been steadily shifting toward enterprise productivity. In October 2025, Otter launched a way for organizations to build custom MCPs to access Otter data outside the app. With its latest launch, the company is focusing on bringing outside data into its own platform. Otter plans to allow connections with several additional enterprise platforms soon:

• Microsoft Outlook
• Teams
• SharePoint
• Slack

This expansion comes amid an industry-wide shift toward botless meeting capture—a trend popularized by competitors like Granola—which refers to recording meetings using system audio instead of having a bot join the call. Otter brought this capability to its Mac app late last year and is now launching a Windows app with a similar botless capture feature. However, the company is not abandoning meeting bots entirely. Otter CEO Sam Liang noted that enterprise customers still value the presence of a visible participant on calls. “When we talk to enterprise customers, most of them actually prefer the notetaker that joins the Zoom meeting because it provides the transparency. They also prefer the meeting notes to be shared with all the meeting attendees, so that the note is not limited to one person,” Liang said.

The platform’s user base has grown to 35 million users, up from 25 million users reported last year. While the company did not provide updated financial figures alongside this launch, it previously reported reaching $100 million in annual recurring revenue last year.

Why it matters

AI meeting notetakers are evolving from simple transcription tools into comprehensive enterprise workspaces, integrating disparate data sources to prove their long-term business value.