get
ChatGPTFetch full content of a specific meeting by its ID (e.g. "meeting:abc123"). Use after list_meetings once you have identified a relevant meeting ID. To fetch multiple meetings at once, use fetch. Use the optional include array to request only the sections you need: "summary" (full meeting summary text), "action_items" (complete action item list with owners), "decisions" (all key decisions), "chapters" (chapter titles + detailed summaries), "participants" (names + emails where available), "transcript" (raw transcript — large; use with chapter_index to scope to one chapter), "metadata" (platform, duration, series ID, org domain), "collections" (recording collections this meeting belongs to — id + name). Omitting include returns all sections except the transcript. To fetch a transcript for a specific chapter, pass include: ["transcript"] and chapter_index (0-based index into the chapters array).
get_live_meeting
ChatGPTLive transcript of an in-progress meeting. Use get for ended meetings. No id: returns the transcript when one meeting is active, or JSON {active_meetings[{id,title,platform,started_at,last_line}]} when multiple are active. With id (meeting/bot id): returns that meeting's transcript as Speaker: words lines prefixed by a header (Meeting ID, Title, Platform, Started at). Requires live captions enabled. Only reliable in English.
list_collections
ChatGPTList recording collections the user has access to. Returns per collection: id, name, recording_count, role (owner | collaborator | viewer), created_at. Use the returned collection id with list_meetings (pass as collection_id) to filter meetings within a specific collection. Collections are curated groups of meetings organized by the user or shared with them. Only collections the user has at least viewer access to are returned.
list_meetings
ChatGPTStep 1 of 2: list and filter meetings with lightweight metadata. Returns per meeting: id, title, date, participants (names), platform, is_external, has_transcript, url, tldr, summary_snippet (≤600 chars: top action items/decisions/agenda), chapters ({title, summary, subsections[]} per chapter), action_item_count, decision_count. Does NOT return: full summary, full action/decision lists, or transcript. Use get or fetch once you have relevant IDs. Search strategies (chapter text is NOT indexed) 1 — Title (instant): title_query when the topic is likely the meeting's main subject. 2 — Chapter scan: Request fields:["id","title","date","chapters"], scan chapters[].summary across results, then fetch matches. 3 — Narrow first: Combine from_date/to_date, participant, platform, or recurring_meeting_series_id to shrink the set. Use limit:100. 4 — Collection: Use collection_id from list_collections to scope to a curated group of meetings. 5 — Code-filter: Paginate and filter chapters[].summary programmatically before fetching. If a result looks relevant, call get with its ID to retrieve full content before answering. Use fields to return only what you need (reduces tokens; id always included). Paginate via next_cursor → cursor.
search_meetings
ChatGPTHybrid BM25 + semantic search across indexed meeting chapters and subsections. Returns meetings ranked by Reciprocal Rank Fusion (RRF) of keyword and semantic signals. Each result includes: • id — use with get to fetch the full meeting • score — RRF relevance (keyword + semantic combined) • title, date, url • matched_chapters — up to 3 chapters/subsections that drove the match Pass include: ["transcript"] to add verbatim transcript text to each matched chapter. vector_weight (0.0–1.0, default 0.5) Balances semantic (vector) vs. keyword (BM25) scoring in RRF fusion: • 0.5 — balanced hybrid; best default for most queries • 0.7–1.0 — prefer semantic; use for intent/concept queries where the user expresses meaning rather than exact words: "meetings where the team seemed frustrated", "discussions about technical direction", "when did we talk about burnout" • 0.1–0.3 — prefer keyword; use when the query contains specific names, IDs, ticket numbers, or exact quoted phrases: "SAI-3364", "Kirill's comment about the deadline", "bun.lock conflict", "unfunny remarks" • 0.0 — keyword only (BM25); 1.0 — semantic only (vector) Metadata filters (from_date, to_date, platform, is_external) narrow the candidate set. Max 100 results (default 25). No cursor — ranked by relevance, not date. For full content, call get with a returned id.
Fetch
ClaudeSearch
ClaudeTestConnection
Claude
