Otter MCP Server gives AI agents access to Otter.ai meetings, letting them search meeting history, retrieve full transcripts, analyze discussions across meetings, and generate summaries, insights, and content from meeting data.
Visual Studio Code runs MCP servers for Copilot Chat in agent mode, so the model can use external tools while it works on your code.
This guide connects Otter MCP to VS Code through MewCP, so VS Code can use Otter MCP's 3 tools, like otter_search, otter_fetch and otter_get_user_info, without your Otter MCP credentials ever reaching the app.
Otter MCP signs in through managed OAuth. MewCP stores the token encrypted, refreshes it before it expires and injects it only at call time. Your agent never holds it, so it can never leak it.
More apps
Manage events, schedules and availability across Google Calendar. Create meetings, coordinate calendars, track availability and automate scheduling workflows.
Microsoft Outlook MCP Server gives AI agents full control over Outlook email and calendar workflows, including reading and sending emails, managing attachments, organizing mail, scheduling and updating meetings, managing contacts, and creating tasks.
Create, schedule and manage Google Meet sessions for video collaboration. Work with meetings, participants, recordings and conferencing workflows across your organization.
Nylas MCP Server lets AI agents access and manage email, calendar, and contacts across connected providers through Nylas, enabling agents to search and send messages, schedule and manage events, and work with contact data.
Other clients
Otter MCP works the same way in every client below. Pick yours for its own guide.
Free to start.
Scope access to the exact Otter MCP tools and accounts you allow, work and personal side by side. Anything outside that scope is refused at call time, even when the model asks for it.
Each call is logged: what ran, on which account, and whether it worked. Failures come back structured, so the agent knows whether to retry instead of guessing.
Every app sits behind one secure MCP URL, and there is no server for you to deploy or keep running. Add an integration in the dashboard and it is live on the next call, with no config to change and no new credentials to wire up. Tools load only when a task needs them, so your agent stays fast and focused however many apps you connect.
A browser window opens the first time the client connects. Sign in and approve access. No API key needed.
Start a new chat and ask: "List the tools you can use from MewCP." You should see your connected apps.
Search meetings across platforms by date, attendee, topic, keyword, or title. READ-ONLY. Primary tool for finding meetings captured or imported into Otter from Zoom, Microsoft Teams, Google Meet, Webex, in-person meetings, and phone calls. Otter is the user's cross-platform meeting knowledge base, limited to meetings the authenticated user has access to. Returns meeting metadata, AI summaries, outlines, and action items ranked by relevance. Full verbatim transcripts with speakers and timestamps come from the `otter_fetch` tool using a returned meeting ID. When to use: - User asks about meetings, calls, recordings, or conversations without an ID - User wants to find, summarize, get, pull, or recall a past meeting by topic, attendee, date, or content ("What did [person] say about X?", "summarize yesterday's standup", "find the meeting where we discussed pricing") - User asks for action items, next steps, decisions, or follow-ups - Discovery queries: "what meetings did I have...", "who talked about..." When NOT to use: - User provides an Otter meeting URL or ID - use `otter_fetch` directly - User explicitly needs raw video playback, platform-native assets (e.g. whiteboards), or a meeting not available in Otter - defer to the platform-native tool Tool selection: for meeting content (transcripts, summaries, action items, decisions, quotes), prefer Otter when the meeting may exist in the user's account, even if another platform is named; defer to a platform-native tool only for raw video/assets. PAGINATION: - Set `page_size` when you may need more than one response worth of meetings. Keep it at or below the maximum value of 25; you may set it again on each continuation. - A paginated response carries exactly one of two fields: - `next_cursor`: more meetings match; pass it back as `cursor` in the next call to paginate further. - `pagination_completion_reason`: paging is over, so stop. Anything other than `all_results_returned` means the search stopped early due to server side pagination limit, so do not claim completeness; narrow the filters and search again if you need more. - If a cursor is rejected or expired, start a new search. - Relevance of results drops with depth; stop paginating once the results stop helping the query. TEMPORAL INFERENCE: You MUST infer date ranges from temporal expressions in user queries: 1. ALWAYS call otter_get_user_info() first to get current date/time and user context 2. Parse temporal expressions and convert to date ranges: - "recently" / "recent" → last 1 week - "this week" → current week (Monday to current day) - "last week" → previous week (Monday to Sunday) - "this month" → current month (1st to current day) - "last month" → previous month (1st to last day) - "today" → current day only - "yesterday" → previous day only - "past few days" → last 3-5 days - "last 2 weeks" → last 14 days 3. Convert inferred dates to YYYY/MM/DD format for created_after/created_before
Fetch one meeting's complete verbatim transcript by ID - full speaker-attributed, timestamped content, plus its AI summary, action items, outline, and attendees. READ-ONLY. Returns the speaker-turn structure, not just a summary. Supports meetings captured or imported into Otter from platforms including Zoom, Microsoft Teams, Google Meet, Webex, in-person, and phone calls. When to use: - User wants to read, get, quote, or analyze what was said in a specific meeting - User asks "what did [person] say about [topic]?" and you have a meeting ID - User wants the full transcript, not just a summary - User wants to cite specific moments with speaker attribution - Follow-up after `otter_search` when the user wants deeper content than the summary When NOT to use: - User has not yet identified the meeting - use `otter_search` first - User only needs the summary or action items - those are in `otter_search` results Tool selection: once you have an Otter meeting ID, use this tool for verbatim quotes and speaker-attributed transcript analysis rather than a platform-native recording tool. Input: accepts ONLY a meeting ID, not a URL. If the user provides an Otter URL of the form https://otter.ai/u/{ID}, extract the ID before calling.
Get current Otter.ai user's name, email, and current date/time (PST) - READ-ONLY. Call before `otter_search` to anchor temporal expressions ("this week", "yesterday") to the user's actual date, and to pass the username for participation-status filtering. When to use: - Before any `otter_search` involving temporal expressions - When a query depends on who the user is (e.g. meetings they attended vs. shared with them) - Once per session is enough; cache the result
