POST/api/v1/meetings/import

Import a meeting

Turns transcripts and/or Google Meet's Gemini notes into meeting pages in the workspace's Meetings folder (made on the first import). Each source is {name, text}, {name, data_b64} (a file, base64) or {google_file_id} (a Google Doc picked in the Google Picker; needs Google Docs connected). title, date (YYYY-MM-DD) and type apply when the sources make one meeting; restricted: true limits it to attendees who are members. The AI summary is written in the background (ai.state is pending, then done); wait: true waits for it. Members and up. Returns {meetings}.

API token required20 per minute per IPMCP: import_meeting

Guide: Meetings

Code samples and Try it

Request body

application/json, required

workspacestringRequired
File it in this workspace: the workspace's id. Up to 40 characters.
sourcesarray of objectRequired
1–6 items.
5 fields inside
- namestring
  Up to 200 characters.
- textstring
  Up to 1,500,000 characters.
- data_b64string
  Up to 5,333,349 characters.
- google_file_idstring
  Up to 200 characters.
- origin"paste" | "upload"
titlestring
Shown on the page and in link previews. Up to 150 characters.
datestring
Up to 10 characters.
typestring
Up to 20 characters.
restrictedboolean
Default false.
waitboolean
Default false.

Responses

200OK.
401No token, or the token is revoked or mistyped.
422The request didn't validate. detail lists each problem, with where it is (loc) and why (msg).
429Too many requests from your IP address. Wait the seconds in Retry-After.

curl -X POST https://api.markdrop.in/api/v1/meetings/import \ -H "Authorization: Bearer $MARKDROP_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "workspace": "665f1c2ab3e4d5f6a7b8c9d0", "sources": [ { "name": "Weekly sync - Transcript", "text": "Ada Lovelace: Let'\''s ship on Friday.\nBo Chen: Agreed." } ] }'

const res = await fetch("https://api.markdrop.in/api/v1/meetings/import", { method: "POST", headers: { Authorization: `Bearer ${process.env.MARKDROP_TOKEN}`, "Content-Type": "application/json", }, body: JSON.stringify({ "workspace": "665f1c2ab3e4d5f6a7b8c9d0", "sources": [ { "name": "Weekly sync - Transcript", "text": "Ada Lovelace: Let's ship on Friday.\nBo Chen: Agreed." } ] }), }); const data = await res.json();

import os import requests r = requests.post( "https://api.markdrop.in/api/v1/meetings/import", headers={"Authorization": f"Bearer {os.environ['MARKDROP_TOKEN']}"}, json={ "workspace": "665f1c2ab3e4d5f6a7b8c9d0", "sources": [ { "name": "Weekly sync - Transcript", "text": "Ada Lovelace: Let's ship on Friday.\nBo Chen: Agreed.", }, ], }, ) r.raise_for_status() print(r.json())