> This page is for version v8.3.0 (default). > For other versions, use one of these documentation indexes: > - v8.3.0 (default): https://docs.workflows.com/v-8-3-0/llms.txt > For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://docs.workflows.com/llms.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.workflows.com/_mcp/server. # gong_get_transcript READ # gong_get_transcript Retrieves the complete transcript of a Gong call with full speaker attribution. This is the primary tool for extracting conversation data to create minds or analyze sales conversations. > **Success** > > Gong transcripts include accurate speaker attribution with both names and email addresses, making them ideal for creating minds and analyzing individual communication patterns. ## Prerequisites > **Gong Integration Required** > > This tool requires Gong integration to be configured. See the [Gong Setup Guide](/mcp-integrations-gong-setup) for configuration instructions. ## Parameters ### callId
**Type** string
**Required** Yes
**Description** The unique call identifier from `gong_list_calls` response
**Example** `call_abc123`
## Request ```json { "callId": "call_abc123" } ``` ## Response ```json { "callId": "call_abc123", "title": "Discovery Call - Enterprise Prospect", "date": "2024-11-15T14:30:00Z", "duration": 3600, "transcript": [ { "speakerName": "Mike Chen", "speakerEmail": "mike.chen@yourcompany.com", "text": "Thanks for taking the time today. I'd love to learn more about your current challenges with customer onboarding.", "timestamp": "00:00:15" }, { "speakerName": "Sarah Johnson", "speakerEmail": "sarah.johnson@prospect.com", "text": "Absolutely. Right now, our biggest pain point is that it takes 3-4 weeks for new customers to see value. We're losing about 20% of customers during onboarding.", "timestamp": "00:00:28" }, { "speakerName": "Mike Chen", "speakerEmail": "mike.chen@yourcompany.com", "text": "That's significant. Can you walk me through your current onboarding process?", "timestamp": "00:00:45" } ] } ``` ### Response Properties | Property | Type | Description | | --------------------------- | ------ | --------------------------------------------------- | | `callId` | string | The call identifier | | `title` | string | Call title from Gong | | `date` | string | ISO 8601 timestamp of the call | | `duration` | number | Call duration in seconds | | `transcript` | array | Array of transcript segments in chronological order | | `transcript[].speakerName` | string | Full name of the speaker | | `transcript[].speakerEmail` | string | Email address of the speaker | | `transcript[].text` | string | The spoken text for this segment | | `transcript[].timestamp` | string | Timestamp within the call (HH:MM:SS format) | ## Common Use Cases #### Create Minds from Sales Calls Extract conversation data to train digital minds on actual sales interactions. **Example:** ``` "Get the transcript from my Gong call with Enterprise Corp and create a mind for the prospect" ``` **Natural language workflow:** 1. AI uses `gong_list_calls` to find the call 2. Uses `gong_get_transcript` to retrieve full conversation 3. Creates mind with `create_mind` 4. Uploads transcript as training data 5. Creates snapshot and trains the model **What you get:** * Mind trained on actual prospect communication style * Ability to simulate future conversations * Insights into objection handling and decision-making patterns #### Analyze Speaker Communication Patterns Extract individual speaker segments to understand communication styles. **Example:** ``` "Get the transcript from call_abc123 and analyze how the prospect responded to pricing discussions" ``` **Natural language workflow:** * AI retrieves full transcript * Filters to prospect speaker segments * Analyzes segments containing "pricing" keywords * Identifies patterns and sentiment **What you get:** * Speaker-specific conversation segments * Communication style insights * Objection patterns * Decision-making indicators #### Training Data for Team Members Use real call transcripts to train sales teams on effective conversations. **Example:** ``` "Get transcripts from my top 5 performing calls this quarter and extract the discovery question patterns" ``` **Natural language workflow:** * AI lists calls and identifies top performers * Retrieves transcripts for each call * Analyzes question patterns * Extracts effective discovery techniques **What you get:** * Real-world examples of effective techniques * Question frameworks that work * Objection handling approaches * Closing strategies ## Error Responses #### 404 Not Found ```json { "error": "Not Found", "message": "Call with ID 'call_abc123' does not exist" } ``` **Solution:** Verify the call ID is correct. Use `gong_list_calls` to get valid call IDs from your account. #### 401 Unauthorized ```json { "error": "Unauthorized", "message": "Gong authentication failed" } ``` **Solution:** Verify your Gong credentials are configured correctly. See the [Gong Setup Guide](/mcp-integrations-gong-setup). #### 403 Forbidden ```json { "error": "Forbidden", "message": "You do not have permission to access this call" } ``` **Solution:** Check your Gong user permissions. You may not have access to this specific call or recording. #### 400 Transcript Not Available ```json { "error": "Bad Request", "message": "Transcript not yet available for this call" } ``` **Solution:** The call may still be processing. Wait a few minutes and try again. Check the call status in Gong's web interface. ## Best Practices #### Speaker Filtering * Extract segments for specific speakers when creating individual minds * Use speaker emails to accurately identify participants * Filter internal vs. external speakers based on email domains * Create separate minds for each unique speaker #### Transcript Processing * Transcripts can be large—consider filtering before uploading to Mind Reasoner * Remove filler words and repetitions for cleaner training data * Focus on substantive conversation segments * Maintain speaker attribution when processing #### Integration with Mind Reasoner * Use transcript text directly as training data for minds * Combine multiple call transcripts for richer training * Filter to specific topics or conversation types * Preserve speaker context (name, email, role) ## Integration with Mind Reasoner ### Creating a Mind from a Gong Transcript #### List Available Calls Use `gong_list_calls` to find calls with the person you want to create a mind for #### Get Transcript Use `gong_get_transcript` to retrieve the full conversation #### Extract Speaker Segments Filter transcript to segments from the target speaker #### Create Mind Use Mind Reasoner's `create_mind` with the speaker's details #### Upload Transcript Upload the filtered transcript as training data #### Train Create snapshot and wait for training to complete **Natural language example:** ``` "Create a mind for Sarah Johnson using all my Gong calls with her from the last quarter" ``` AI handles the entire workflow automatically: * Lists calls with Sarah * Retrieves all transcripts * Extracts Sarah's segments * Creates mind and trains on her communication patterns ## See Also #### [gong_list_calls](/mcp-tool-gong-list-calls) Find calls before retrieving transcripts #### [gong_get_call_details](/mcp-tool-gong-get-call-details) Get analytics before downloading full transcripts #### [create_mind](/mcp-tool-create-mind) Create minds from Gong transcripts #### [Gong Tools Overview](/mcp-integrations-gong) See all Gong tools and workflows