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@iflow-mcp/gong-api--subset-

v0.1.0

Published

MCP Server generated from OpenAPI spec for gong-api--subset-

Readme

Gong MCP

MCP integration for Gong API, enabling AI assistants to interact with Gong call recordings, transcripts, and analytics.

Features

  • Authentication via secure Basic Auth
  • Access to calls, transcripts, users, and more
  • Compatible with Cursor AI assistant
  • Includes brief generation capability

Prerequisites

  • Node.js >= 20.0.0
  • pnpm (recommended) or npm
  • Gong API credentials (Access Key and Secret)

Setup

  1. Clone this repository
  2. Install dependencies:
    pnpm install
  3. Build the TypeScript code:
    pnpm build
  4. Configure your global Cursor MCP config at ~/.cursor/mcp.json with your Gong credentials:
    {
      "mcpServers": {
        "gong-mcp": {
          "type": "stdio",
          "command": "/opt/homebrew/bin/node",
          "args": ["/path/to/gong-mcp/build/index.js"],
          "cwd": "/path/to/gong-mcp",
          "environment": {
            "GONG_ACCESS_KEY": "your-access-key",
            "GONG_SECRET": "your-secret"
          }
        }
      }
    }

Environment Variables

The following environment variables are required:

  • GONG_ACCESS_KEY: Your Gong API access key
  • GONG_SECRET: Your Gong API secret

These can be set either in your environment or in the Cursor MCP config.

Documentation

Development

Available npm scripts:

pnpm build        # Build the TypeScript code
pnpm dev          # Watch mode for development
pnpm test         # Run all tests
pnpm test:smoke   # Run smoke tests only
pnpm lint         # Run ESLint

Testing

Run the smoke tests to validate your setup:

pnpm test:smoke

Note: Make sure to have GONG_ACCESS_KEY and GONG_SECRET environment variables set before running tests.

Usage with Cursor

Once configured in your global Cursor MCP settings, the AI assistant can:

  • Retrieve call recordings and transcripts
  • Search for calls by date range or participants
  • Access user information
  • Generate briefs for deals/accounts
  • Analyze call patterns and metrics