MCP server in n8n for AI agents to retrieve call and us

This automation template enables AI agents to securely and programmatically access Gong data via HTTP webhook using an MCP server built in n8n. It’s ideal for integrating Gong into AI-powered applications without exposing API credentials directly to agents.

## Who it´s for
- AI agent developers integrating Gong data access
- Sales managers using AI to analyze call records
- SaaS companies automating Gong data workflows in their products
- Engineers building MCP-compatible internal tools

## What the automation does
- Receives requests from AI agents via HTTP webhook
- Identifies operation type: get single or list of calls/users
- Dynamically injects parameters (filters, IDs, limits) using $fromAI() expressions
- Makes authenticated API calls to Gong
- Formats and returns structured JSON responses to the agent
- Supports filtering by region, status, date, and other fields

## What´s included
- Ready-to-use n8n workflow compatible with LangChain MCP Server
- Logic for handling incoming webhook requests
- Integrations with Gong and HTTP API
- Basic text guide for setup and adaptation

## Requirements for setup
- n8n account (cloud or self-hosted)
- Gong API access with required permissions
- Configured LangChain MCP Server (if part of your stack)
- Basic understanding of JSON, APIs, and variable handling in n8n

## Benefits and outcomes
- Simplified AI agent access to Gong data without direct API calls
- Centralized control over authentication and security
- Flexible data filtering and retrieval via AI-passed parameters
- Reduced development effort with a pre-built template
- Scalable for multiple agents and use cases

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.