Otter Uses MCP for Cross-Tool Enterprise Search
Otter acts as MCP client to unify search across Gmail, Drive, Notion, Jira, Salesforce, and meetings; adds context-aware AI, botless capture on Windows/Mac, with enterprise favoring bot transparency.
MCP Enables Unified Search and Actions Across Enterprise Tools
Otter integrates as a Model Context Protocol (MCP) client to pull data from Gmail, Google Drive, Notion, Jira, and Salesforce, enabling queries across these plus Otter's meeting transcripts. Soon adding Microsoft Outlook, Teams, SharePoint, and Slack. Beyond search, users push meeting summaries to Notion or draft Gmail messages directly, turning Otter into a decision-making workspace rather than just a notetaker. This follows competitors like Read AI, Fireflies.ai, and Fathom, addressing the limits of transcription-only models by standardizing external data access.
Persistent AI Assistant Handles Screen Context
Redesigned AI assistant stays available app-wide, understanding current screen context like specific meetings or channels to deliver relevant answers. This reduces context-switching, letting users query anytime without reformatting prompts.
Enterprise Prefers Bot-Joined Meetings for Transparency
While rivals like Granola and Fathom push botless capture via system audio (Otter added to Mac last year, now Windows), CEO Sam Liang notes enterprise customers favor bots joining Zoom calls. Bots ensure transparency—notes shared with all attendees, not siloed to one user. Otter's deduplication prevents multiple bots overwhelming calls, avoiding more bots than humans.
Growth Signals Market Fit: 35M Users
From 25 million users and $100M ARR last year, Otter now claims 35 million users without updated revenue. Previously launched custom MCP servers for external Otter data access, showing bidirectional enterprise strategy.