AI meeting notetaker apps have realized that transcribing meetings and providing summaries alone is not enough to justify their business models and valuations. They now want to act as a full workspace where users bring in data from different sources, search across all of it, and make decisions about their business. Following notetakers like Read AI, Fireflies.ai, and Fathom, Otter is now launching enterprise search by acting as a Model Context Protocol (MCP) client. That means it can connect to and pull data from outside apps and services using a common standard that AI tools are rapidly adopting.
Otter has been around for nearly a decade now, but it has been making moves toward becoming an enterprise productivity tool in the last few months. Last October, the company launched a way for organizations to build custom MCPs to access Otter data outside the app. The company’s latest move is more about bringing outside data into the app.
With this launch, users can connect their Gmail, Google Drive, Notion, Jira, and Salesforce accounts and query that data along with existing meeting data. The company said that it will soon allow connections with Microsoft Outlook, Teams, SharePoint, and Slack. Users can not only search for data across these tools but can also push meeting summaries to Notion or draft a Gmail message.
The company said that it has also redesigned its AI assistant to be consistently present across the whole interface, so users can ask questions anytime. The assistant can understand the context of the screen, such as a particular meeting or a channel, and answer questions accordingly.
Meanwhile, most notetakers are following Granola’s lead and allowing for a botless meeting capture — recording meetings using a device’s system audio rather than having a bot join the call. Otter said t …