Gong

Gong MCP Connector for Claude

A+

Analyze sales conversations with AI that reveals winning patterns, coach reps with data, and forecast revenue with precision.

14 tools Official Updated Jun 28, 2026 Official Vinkius Partner

Connect your Gong account to any AI agent and unlock conversation intelligence insights through natural conversation.

What you can do

  • Call Management — List all recorded calls, filter by user or date range, and inspect individual call metadata with participants and topics
  • Transcripts — Retrieve full speaker-labeled transcripts for any recorded call
  • Team Analytics — List all team members with roles and activity metrics, and drill into per-user call statistics
  • Scorecard Evaluation — Browse scoring rubrics and retrieve call quality scores for coaching
  • Deal Pipeline — View deal stages, amounts, and associated calls for pipeline visibility
  • Coaching Library — Access curated calls saved to the Gong coaching library for training
  • Aggregate Statistics — Retrieve org-wide call metrics: total calls, duration, talk ratios

How it works

  1. Subscribe to this server
  2. Enter your Gong Access Key and Access Key Secret from Company Settings > API
  3. Start analyzing your conversations from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Sales Managers — review call recordings, track rep performance, and identify coaching opportunities
  • Revenue Operations — correlate deal pipeline data with conversation patterns to forecast accurately
  • Sales Enablement — curate best-practice calls in the coaching library and evaluate with scorecards
revenue-intelligenceconversation-analysissales-coachingcall-transcriptiondeal-trackingperformance-analytics

14 tools expose this connector's capabilities to your AI agent.

check_gong_status

Verify connectivity

get_call

Get call details

get_call_stats

Get call statistics

get_transcript

Get call transcript

get_user_stats

Get user stats

get_user

Get user details

list_call_scores

Get call scores

list_calls_by_date

List calls by date range

list_calls_by_user

List calls by user

list_calls

List calls

list_deals

List deals

list_library_calls

List library calls

list_scorecards

List scorecards

list_users

List users

See how to talk to your AI agent using Gong.

Show me all calls from this week and the transcript for the longest one.

Found 28 calls this week. The longest was 'Enterprise Demo — Acme Corp' (call_7891, 52 minutes, 4 participants). Speakers: Sarah Chen (rep, 58% talk time), John Miller (prospect, 35%), Lisa Park (SE, 7%). Key topics discussed: pricing tiers, SSO integration, data migration timeline. Action items: 1) Send SOW by Friday. 2) Schedule security review. 3) Provide reference customers. Would you like to see the scorecard evaluation or the full transcript?

Compare the call performance of Sarah and Mike this quarter using their stats and scorecards.

Sarah Chen (user_201): 89 calls, avg duration 34 min, talk ratio 52/48 (ideal), avg scorecard: 8.4/10. Top strength: discovery questions (9.1). Area to improve: closing technique (7.2). Mike Torres (user_205): 72 calls, avg duration 28 min, talk ratio 65/35 (over-talking), avg scorecard: 7.1/10. Top strength: product knowledge (8.8). Area to improve: active listening (5.9). Recommendation: Mike could benefit from Sarah's coaching library calls on discovery methodology. Would you like to see the library calls?

Show the deal pipeline and highlight deals that have had no calls in the last 2 weeks.

Deal pipeline: 24 active deals totaling $1.2M. Stage breakdown: Prospecting (8, $280K), Discovery (6, $340K), Demo (5, $290K), Negotiation (3, $190K), Closing (2, $100K). ⚠️ 4 deals have had no calls in 14+ days: 1) 'DataFlow Inc' ($45K, Negotiation, last call 18 days ago). 2) 'CloudSync' ($30K, Discovery, 16 days). 3) 'FinTrack' ($25K, Demo, 15 days). 4) 'LogiPro' ($20K, Prospecting, 21 days). These are at risk of going cold. Would you like to check the last call transcripts?

Yes. Use `list_calls` to browse all recorded calls, then call `get_transcript` with the Call ID to retrieve the full speaker-labeled transcript. Each segment includes the speaker name, timestamp, and spoken text. Use `get_call` for additional metadata like topics discussed and action items.

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