# Gong

> Use this tool when you need to analyze sales conversations or review customer interactions by retrieving call recordings and transcripts from Gong's API. It solves problems related to extracting insights from recorded calls, providing a standardized interface for secure authentication and data retrieval. With inputs of API credentials and date filters, it outputs detailed transcripts with speaker information, making it ideal for use cases requiring in-depth conversation analysis.

Canonical page: https://skillsregistry.net/skills/kenazk-gong  
JSON: https://api.skillsregistry.net/v1/skills/kenazk-gong

## Description

Gong MCP Server provides a standardized interface for Claude to access Gong's API, enabling retrieval of call recordings and transcripts. Built with TypeScript and the MCP SDK, it offers tools for listing calls with date filtering and retrieving detailed transcripts with speaker information. The implementation securely authenticates with Gong using API credentials and can be deployed locally or via Docker, making it particularly valuable for analyzing sales conversations, reviewing customer interactions, and extracting insights from recorded calls without leaving the Claude environment.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kenazk-gong)
- **Repository:** <https://github.com/kenazk/gong-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "kenazk-gong"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kenazk-gong` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kenazk-gong/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt