Gong MCP Server

The Gong MCP Server bridges the gap between Claude and Gong’s rich conversation analytics platform by exposing a Model Context Protocol (MCP) interface. It lets AI assistants retrieve call listings and transcripts directly from Gong, enabling developers to build conversational tooling that taps into real sales or support conversations without custom API wrappers.

What Problem Does It Solve?

Many teams rely on Gong to capture, transcribe, and analyze voice interactions. However, accessing this data programmatically requires handling OAuth flows, paginated endpoints, and complex payloads. The Gong MCP Server abstracts these details behind a single, well‑defined MCP contract, allowing Claude to request call data with simple JSON payloads. This eliminates boilerplate code and reduces the cognitive load for developers who want to enrich AI experiences with real‑world conversation data.

How It Works and Why It’s Valuable

• Standardized MCP Interface: The server implements the MCP spec, so Claude can discover tools like and automatically. No custom adapters are needed.
• Secure Authentication: It uses Gong’s API keys supplied via environment variables, ensuring credentials never leave the server process.
• Convenient Toolset: Two core tools—listing calls with optional date filtering and retrieving detailed transcripts for selected call IDs—cover most analytics workflows.
• Developer‑Friendly: The server is lightweight, written in Node.js 18+, and can run locally or as a Docker container, making it easy to integrate into existing development pipelines.

Key Features Explained

• List Calls
  Purpose: Pull a catalog of Gong calls, optionally constrained by start and end dates.
  Output: Call metadata including ID, title, timestamps, participants, and duration. Useful for generating meeting summaries or feeding a knowledge base.

• Retrieve Transcripts
  Purpose: Fetch full, timestamped transcripts for one or more call IDs.
  Output: Speaker‑segmented dialogue, topic tags, and sentence timestamps—ideal for training language models or creating searchable conversation archives.

• Authentication & Security
  The server expects and , ensuring that only authorized requests reach Gong’s endpoints.

Real‑World Use Cases

• Sales Coaching: Pull recent calls, generate coaching notes, and have Claude suggest improvement areas based on transcript analysis.
• Customer Support Insight: Retrieve support calls, extract sentiment trends, and feed insights into a knowledge‑base assistant.
• Compliance Auditing: Automate the extraction of call logs for regulatory review, with timestamps and speaker attribution.

Integration into AI Workflows

Developers add the Gong MCP Server to Claude’s MCP server list. Once registered, any Claude conversation can invoke or as part of a tool‑using prompt. The assistant can then present call summaries, highlight key moments, or even trigger downstream actions like creating tickets—all without leaving the chat interface.

Unique Advantages

• One‑Stop Call Data Access: Eliminates the need for multiple API calls or pagination logic.
• MCP‑First Design: Guarantees seamless discovery and invocation by any MCP‑compliant client, including future Claude releases.
• Extensibility: The server can be expanded with additional Gong endpoints (e.g., analytics, participant insights) while preserving the same MCP contract.

In summary, the Gong MCP Server empowers developers to inject real conversation data into AI assistants with minimal friction, opening doors to smarter sales coaching, support automation, and compliance tooling—all through a unified, protocol‑driven interface.