# Gong MCP for AI Agents AI Agent Connect

> Gong MCP for AI Agents. Analyze sales conversations with AI to reveal winning patterns, coach your reps with hard data, and forecast revenue with higher precision by connecting your Gong account directly to your AI client.

## Overview
- **Category:** sales-automation
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_x4WE0gpcyYpvWEqNhvCxTHmRSIlxQrvTnF4tvYRq/ai-agent-connect
- **Tags:** revenue-intelligence, conversation-analysis, sales-coaching, call-transcription, deal-tracking, performance-analytics

## Description

This Connector connects your Gong account directly to your AI client. Instead of jumping between tabs to find a specific transcript or dig through a rep's performance history, you can just ask your agent to do the heavy lifting. You can pull full speaker-labeled transcripts to see exactly how a demo went, or ask for a summary of a rep's talk ratio to see if they're letting the prospect do all the talking. If you're looking to scale coaching, you can pull calls from your library or check scorecard scores to see who needs more training. It makes it way easier to spot trends in your deal pipeline without manual filtering. You can quickly see which deals are going cold because they haven't had a call in two weeks or identify which reps are hitting their targets based on their latest scores. This is one of the high-quality integrations available in the Vinkius catalog, designed to turn your conversation data into actionable steps. You can move from thinking your reps are struggling to knowing exactly who needs help with closing techniques in a single prompt.

## Tools

### get_call_stats
Get stats for a specific call. Use this to see talk ratios and durations.

### get_transcript
Pull the full transcript for a call. This lets you read every word spoken by participants.

### get_user_stats
See high-level stats for a specific user. Use this to check a rep's total call volume.

### get_user
Get details about a specific user. This helps identify roles and activity metrics.

### list_call_scores
List the scores for various calls. Use this to find which reps are hitting their coaching targets.

### list_calls_by_date
List calls within a specific date range. This is perfect for reviewing last week's activity.

### list_calls_by_user
List all calls associated with a specific user. Use this to audit a single rep's performance.

### list_calls
List all recorded calls. Use this to get a broad overview of your recent conversation history.

### list_library_calls
List calls saved in your coaching library. This helps you find best-practice examples for training.

### list_scorecards
List the available scoring rubrics. Use this to see how calls are being evaluated.

### list_users
List all users in your Gong account. This gives you a bird's-eye view of your team.

### check_gong_status
Verify that your connection to Gong is active. Use this to troubleshoot your integration.

### get_call
Get specific details for a single call. This provides metadata like participants and topics.

### list_deals
List all deals in your pipeline. Use this to see deal stages and associated call history.

## Prompt Examples

**Prompt:** 
```
Show me all calls from this week and the transcript for the longest one.
```

**Response:** 
```
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?
```

**Prompt:** 
```
Compare the call performance of Sarah and Mike this quarter using their stats and scorecards.
```

**Response:** 
```
### Performance Comparison

**Sarah Chen (user_201):**
* **Calls:** 89
* **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):**
* **Calls:** 72
* **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?
```

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

**Response:** 
```
### Deal Pipeline Overview
**Total Active Deals:** 24
**Total Value:** $1.2M

**Stage Breakdown:**
* Prospecting: 8 ($280K)
* Discovery: 6 ($340K)
* Demo: 5 ($290K)
* Negotiation: 3 ($190K)
* Closing: 2 ($100K)

**⚠️ At-Risk Deals (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?
```

## Capabilities

### Pull call transcripts
Retrieve full speaker-labeled text for any recorded call to review specific conversations.

### Track rep stats
View activity metrics and talk ratios for individual team members to monitor engagement.

### Audit deal pipelines
See deal stages and identify which opportunities are stalling or need attention.

### Review coaching scores
Access scorecard evaluations to identify specific areas where reps need more training.

### Query call history
Filter calls by date or user to find specific historical conversations quickly.

### Access training libraries
Retrieve curated calls from your coaching library to use as best-practice examples.

## Use Cases

### Rep Performance Audit
A manager asks their agent to list all calls from a specific rep last month and pull the transcript for the longest one to check for discovery depth.

### Pipeline Stagnation Check
A RevOps analyst asks the agent to show all deals in the negotiation stage that haven't had any calls in the last 14 days to identify at-risk revenue.

### Training Content Curation
A Sales Enablement lead asks the agent to pull the top three calls from the coaching library to share with a new hire starting next week.

### Coaching Prioritization
A manager asks the agent to compare the call scores of two different reps to decide who should receive a 1:1 coaching session this afternoon.

## Benefits

- Review transcripts faster using get_transcript to find specific customer pain points and objections.
- Identify coaching gaps by pulling scores with list_call_scores to see where reps struggle with their pitch.
- Monitor team activity with list_users and get_user_stats to track engagement and talk ratios.
- Spot at-risk deals by using list_deals to see which ones haven't had a call in over a week.
- Access training materials quickly with list_library_calls to keep your team sharp and consistent.
- Get a high-level view of the org using get_call_stats to see talk ratios across different regions.

## How It Works

The bottom line is you get a way to talk to your Gong data instead of clicking through it.

1. Subscribe to the Gong MCP in your AI client.
2. Enter your Gong Access Key and Access Key Secret from your Company Settings.
3. Ask your agent to find transcripts, check rep stats, or pull deal data.

## Frequently Asked Questions

**How can I use the Gong MCP to help with sales coaching?**
You can use it to instantly pull call scores and transcripts for your team. This allows you to identify exactly which reps need help with specific skills, like discovery or closing, and provide them with targeted coaching based on real data.

**Can the Gong MCP help me identify stalled deals in my pipeline?**
Yes. You can ask your agent to list all deals in your pipeline and filter for those that haven't had any recorded calls in a set amount of time, helping you prioritize follow-ups.

**Does the Gong MCP provide full transcripts of my sales calls?**
It does. You can request speaker-labeled transcripts for any call in your history, making it easy to review the exact flow of a conversation without having to listen to the entire recording.

**Is the Gong MCP good for tracking team performance metrics?**
It's excellent for that. You can pull high-level stats for any team member, including their total call volume, average duration, and talk ratios, to get a clear view of individual activity.

**Can I access my Gong coaching library using this Connector?**
Yes, you can. You can ask your agent to list calls saved in your coaching library, which makes it easy to find and share best-practice examples with your sales team.

**How do I connect my Gong data to my AI agent?**
You just need to subscribe to the Connector and provide your Gong Access Key and Secret from your company settings. Once connected, your agent can query your calls, transcripts, and deals directly.

**Can I access the full transcript of a recorded sales call?**
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.

**Does Gong require two separate credentials?**
Yes. Gong uses HTTP Basic Authentication with an **Access Key** and an **Access Key Secret**. Both are generated in **Company Settings > Ecosystem > API > API Keys**. The credentials are Base64-encoded and sent in the Authorization header. You must be a Technical Administrator to generate API keys.

**Can I track deal pipeline data alongside call recordings?**
Yes. The `list_deals` tool retrieves your deal pipeline with stages, amounts, and associated calls. Cross-reference with `list_calls` and `get_call` to understand which conversations influenced deal progression. Use `get_call_stats` for aggregate metrics like total call volume and talk ratios.