OtterAI MCP

1. Install the SDK

   Node.js

   npm install @scalekit-sdk/node

   Python

   pip install scalekit

   Full SDK reference: Node.js | Python

2. Set your credentials

   Add your Scalekit credentials to your .env file. Find values in app.scalekit.com > Developers > API Credentials.

   .env

   SCALEKIT_ENVIRONMENT_URL=<your-environment-url>
   SCALEKIT_CLIENT_ID=<your-client-id>
   SCALEKIT_CLIENT_SECRET=<your-client-secret>

3. Authorize and make your first call

   Node.js

   quickstart.ts

   import { ScalekitClient } from '@scalekit-sdk/node'
   import 'dotenv/config'
   
   const scalekit = new ScalekitClient(
     process.env.SCALEKIT_ENV_URL,
     process.env.SCALEKIT_CLIENT_ID,
     process.env.SCALEKIT_CLIENT_SECRET,
   )
   const actions = scalekit.actions
   
   const connector = 'otteraimcp'
   const identifier = 'user_123'
   
   // Generate an authorization link for the user
   const { link } = await actions.getAuthorizationLink({ connectionName: connector, identifier })
   console.log('Authorize OtterAI MCP:', link)
   process.stdout.write('Press Enter after authorizing...')
   await new Promise(r => process.stdin.once('data', r))
   
   // Make your first call
   const result = await actions.executeTool({
     connector,
     identifier,
     toolName: 'otteraimcp_otter_get_user_info',
     toolInput: {},
   })
   console.log(result)

   Python

   quickstart.py

   import os
   from scalekit.client import ScalekitClient
   from dotenv import load_dotenv
   load_dotenv()
   
   scalekit_client = ScalekitClient(
       env_url=os.getenv("SCALEKIT_ENV_URL"),
       client_id=os.getenv("SCALEKIT_CLIENT_ID"),
       client_secret=os.getenv("SCALEKIT_CLIENT_SECRET"),
   )
   actions = scalekit_client.actions
   
   connection_name = "otteraimcp"
   identifier = "user_123"
   
   # Generate an authorization link for the user
   link_response = actions.get_authorization_link(
       connection_name=connection_name,
       identifier=identifier,
   )
   print("Authorize OtterAI MCP:", link_response.link)
   input("Press Enter after authorizing...")
   
   # Make your first call
   result = actions.execute_tool(
       tool_input={},
       tool_name="otteraimcp_otter_get_user_info",
       connection_name=connection_name,
       identifier=identifier,
   )
   print(result)

What you can do

Connect this agent connector to let your agent:

• Search otter — Search meetings across platforms by date, attendee, topic, keyword, or title
• Get otter — Return the name and email of the currently authenticated OtterAI user
• Fetch otter — Retrieve the full transcript and metadata for a single OtterAI meeting by its ID, returned by otter_search

Tool list

Use the exact tool names from the Tool list below when you call execute_tool. If you’re not sure which name to use, list the tools available for the current user first.

otteraimcp_otter_fetch#Retrieve the full transcript and metadata for a single OtterAI meeting by its ID, returned by otter_search.1 param▾

Retrieve the full transcript and metadata for a single OtterAI meeting by its ID, returned by otter_search.

NameTypeRequiredDescription

idstringrequiredMeeting ID returned by otter_search. Used to retrieve the full transcript from the Otter.ai platform.

otteraimcp_otter_get_user_info#Return the name and email of the currently authenticated OtterAI user.0 params▾

Return the name and email of the currently authenticated OtterAI user.

otteraimcp_otter_search#Search meetings across platforms by date, attendee, topic, keyword, or title. Returns meeting metadata, AI summaries, outlines, and action items ranked by relevance; supports pagination via cursor.13 params▾

Search meetings across platforms by date, attendee, topic, keyword, or title. Returns meeting metadata, AI summaries, outlines, and action items ranked by relevance; supports pagination via cursor.

NameTypeRequiredDescription

attended_bystringoptionalOptional. Name(s) of the participant(s) who were in the meeting. Case insensitive. Comma-separate multiple names.

channel_namestringoptionalOptional. Name of any channel mentioned. Only include the name without the word channel.

created_afterstringoptionalOptional. 'YYYY/MM/DD' format. Start of the date range: only meetings created on or after this date are returned.

created_beforestringoptionalOptional. 'YYYY/MM/DD' format. End of the date range: only meetings created on or before this date are returned.

cursorstringoptionalOptional. The next_cursor value from a previous otter_search response, used to fetch the next page of the same search.

folder_namestringoptionalOptional. Name of any folder mentioned. Only include the name without the word folder.

include_shared_meetingsstringoptionalOptional. Whether to include meetings shared with the user. Set to false only when the user explicitly asks for their own meetings.

keywords_in_transcriptstringoptionalOptional. Comma separated keywords that could be in the transcript. Case insensitive.

page_sizestringoptionalOptional. At most how many meetings to return in this response, between 1 and 25.

querystringoptionalOptional. Semantic search query for finding relevant meetings by topic or content.

rationalestringoptionalOptional. Briefly explain why you are calling this tool and how you plan to use the results. Do not include PII or other sensitive information. Maximum 250 characters.

title_containsstringoptionalOptional. Space-delimited list of words, all of which must appear (in any order) in the recording title. Case insensitive.

usernamestringoptionalOptional. The current user's name from otter_get_user_info, used to mark results as personally attended vs. only shared with the user.