fathom_get_meeting_details

Retrieve comprehensive meeting information with AI summaries and action items
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fathom_get_meeting_details

Retrieves comprehensive meeting information and AI-generated insights from Fathom. Use this tool to get meeting outcomes, action items, and summaries without downloading full transcripts.

Fathom automatically generates meeting summaries and extracts action items, giving you instant access to meeting outcomes and next steps.

Prerequisites

Fathom Integration Required

This tool requires Fathom integration to be configured. See the Fathom Setup Guide for configuration instructions.

Parameters

meetingId

Typestring
RequiredYes
DescriptionThe unique meeting identifier from fathom_list_meetings response
Examplemeeting_abc123

Request

1{
2 "meetingId": "meeting_abc123"
3}

Response

1{
2 "meetingId": "meeting_abc123",
3 "title": "Product Planning - Q4 Roadmap",
4 "date": "2024-11-15T14:00:00Z",
5 "duration": 3600,
6 "summary": "Team discussed Q4 product roadmap priorities. Key decisions: Focus on enterprise features (SSO, advanced permissions) and API improvements. Marketing needs updated positioning by Dec 1. Engineering will provide technical specs by Nov 25.",
7 "actionItems": [
8 {
9 "task": "Provide technical specifications for SSO integration",
10 "assignedTo": "Mike Johnson",
11 "dueDate": "2024-11-25"
12 },
13 {
14 "task": "Update product positioning deck with enterprise focus",
15 "assignedTo": "Sarah Chen",
16 "dueDate": "2024-12-01"
17 },
18 {
19 "task": "Schedule API architecture review meeting",
20 "assignedTo": "Alex Rivera",
21 "dueDate": "2024-11-20"
22 }
23 ],
24 "keyTopics": [
25 "Q4 Roadmap Priorities",
26 "Enterprise Features",
27 "API Improvements",
28 "Go-to-Market Strategy"
29 ],
30 "participants": [
31 {
32 "name": "Sarah Chen",
33 "email": "sarah.chen@company.com",
34 "role": "Product Manager"
35 },
36 {
37 "name": "Mike Johnson",
38 "email": "mike.johnson@company.com",
39 "role": "Engineering Lead"
40 },
41 {
42 "name": "Alex Rivera",
43 "email": "alex.rivera@company.com",
44 "role": "Solutions Architect"
45 }
46 ],
47 "recordingUrl": "https://app.fathom.video/recording/abc123",
48 "transcriptUrl": "https://app.fathom.video/transcript/abc123"
49}

Response Properties

PropertyTypeDescription
meetingIdstringThe meeting identifier
titlestringMeeting title from calendar
datestringISO 8601 timestamp of the meeting
durationnumberMeeting duration in seconds
summarystringAI-generated comprehensive meeting summary
actionItemsarrayExtracted action items and tasks
actionItems[].taskstringDescription of the action item
actionItems[].assignedTostringPerson assigned (if mentioned)
actionItems[].dueDatestringDue date (if mentioned)
keyTopicsarrayMain topics discussed in the meeting
participantsarrayMeeting participants with details
participants[].namestringParticipant’s full name
participants[].emailstringParticipant’s email address
participants[].rolestringParticipant’s role (if available)
recordingUrlstringDirect link to Fathom recording
transcriptUrlstringDirect link to Fathom transcript

Common Use Cases

Extract and track action items across meetings without reading full transcripts.

Example:

"Show me all action items from my team meetings this week
and who they're assigned to"

Natural language workflow:

  • Lists team meetings from this week
  • Gets details for each meeting
  • Extracts and aggregates action items
  • Groups by assignee

What you get:

  • Comprehensive action item list
  • Assignment tracking
  • Due date visibility
  • Follow-up task management

Quickly review meeting decisions and outcomes without watching recordings.

Example:

"Summarize the outcomes from all my client meetings
this month"

Natural language workflow:

  • Lists client meetings
  • Gets details for each
  • Aggregates summaries
  • Presents consolidated outcomes

What you get:

  • Key decisions across meetings
  • Client feedback themes
  • Strategic directions
  • Quick outcome visibility

Identify recurring topics across meetings for trend analysis.

Example:

"What topics came up most frequently in my leadership
meetings this quarter?"

Natural language workflow:

  • Lists leadership meetings from Q4
  • Gets details for each meeting
  • Aggregates key topics
  • Ranks by frequency

What you get:

  • Topic frequency analysis
  • Strategic theme identification
  • Team focus areas
  • Trend visibility

Review meeting summaries before deciding whether to retrieve full transcripts.

Example:

"Show me details for my meetings from yesterday and tell me
which ones discussed product strategy"

Natural language workflow:

  • Lists yesterday’s meetings
  • Gets details for each
  • Filters by topics/summary content
  • Presents relevant meetings

What you get:

  • Quick topic-based filtering
  • Avoid unnecessary transcript downloads
  • Efficient meeting review
  • Targeted information retrieval

Error Responses

1{
2 "error": "Not Found",
3 "message": "Meeting with ID 'meeting_abc123' does not exist"
4}

Solution: Verify the meeting ID is correct. Use fathom_list_meetings to get valid IDs.

1{
2 "error": "Unauthorized",
3 "message": "Fathom authentication failed"
4}

Solution: Verify your Fathom API key is configured correctly.

1{
2 "error": "Forbidden",
3 "message": "You do not have permission to access this meeting"
4}

Solution: Check your Fathom permissions for this meeting.

1{
2 "error": "Bad Request",
3 "message": "Meeting details not yet available"
4}

Solution: Meeting may still be processing. Wait and retry.

Best Practices

Leverage AI Summaries
  • Use summaries for quick meeting recaps
  • Filter meetings by summary content before getting transcripts
  • Track key decisions across meetings
  • Save time by avoiding transcript downloads when summaries suffice
  • Extract action items programmatically
  • Track assignment and due dates
  • Build custom follow-up systems
  • Aggregate action items across meetings
  • Identify strategic themes from key topics
  • Track topic evolution over time
  • Find meetings discussing specific subjects
  • Analyze topic frequency across teams

Integration with Mind Reasoner

Workflow: Topic-Based Mind Creation

1

List Meetings

Use fathom_list_meetings to get recent meetings

2

Get Details

Use fathom_get_meeting_details to review summaries and topics

3

Filter

Select meetings discussing relevant topics

4

Get Transcripts

Retrieve full transcripts only for selected meetings

5

Create Minds

Build minds from filtered conversations

Natural language example:

"Find all meetings where we discussed customer feedback,
then create minds for the customers who participated"

See Also