Who can use this: Tech admin
Available on: Any Gong plan
Coming soon:
Gong MCP client and server are coming soon
The Gong MCP server exposes Gong insights to external AI systems.
External AI clients, such as chat-based assistants or embedded AI tools, can query the MCP server to retrieve AI-generated insights based on Gong activity data.
How the Gong MCP server works
External MCP clients send requests to the Gong MCP server using JSON-RPC.
The MCP server processes each request by analyzing Gong activity data and returns AI-generated insights in a structured response.
MCP server tools
The MCP server exposes the following tools:
Ask_account: Answers natural language questions about a single account
Ask_deal: Answers natural language questions about a single deal
Generate_brief: Generates a structured, multi-category summary (brief) for an account or deal, including insights such as key themes, stakeholders, risks, and next steps
Each tool analyzes calls and emails within a defined time range and returns AI-generated insights.
ask_account
The ask_account tool answers a specific question about a single account.
It analyzes Gong activities linked to the account and returns a focused, natural-language response. The response highlights patterns such as objections, risks, stakeholder concerns, and competitive mentions based on recent interactions.
Use this tool when the external AI agent needs a targeted insight about an account. This includes scenarios such as understanding customer concerns, identifying risks, or preparing for an account review.
This tool works best when the external AI agent asks a concise, insight-oriented question. It returns a single synthesized answer and does not provide raw activity data.
Do not use this tool for broad summaries or multi-topic overviews. When a structured summary across multiple categories is required, use the generate_brief tool.
ask_deal
The ask_deal tool answers natural language questions about a single CRM deal.
It analyzes calls and emails linked to the deal and returns a focused, natural-language response. The response highlights patterns such as deal blockers, stakeholder concerns, risks, and agreed next steps based on recent interactions.
Use this tool when the external AI agent needs a targeted insight about a deal. This includes scenarios such as understanding what is preventing a deal from closing, tracking deal progress, or reviewing recent commitments.
This tool works best when the external AI agent asks a concise, insight-oriented question. It returns a single synthesized answer and does not provide raw activity data.
Do not use this tool for structured summaries or multi-topic overviews. When a broader, multi-category view of the deal is required, use the generate_brief tool.
generate_brief
The generate_brief tool generates structured summaries for CRM accounts or deals.
It analyzes calls and emails linked to the account or deal and returns a comprehensive summary organized into predefined categories such as key themes, stakeholders, risks, and next steps.
Use this tool when the external AI agent needs a broad overview rather than a single answer. This includes scenarios such as account reviews, deal reviews, executive briefings, or handoffs.
This tool works best when a structured summary across multiple topics is required. It returns a single, organized output based on a predefined brief and does not accept a question.
Do not use this tool when the external AI agent needs a specific answer to a specific question. For targeted insights, use the ask_account or ask_deal tools.
Data and behavior
The MCP server returns AI-generated insights based on Gong data.
It analyzes calls and emails within a defined time range and returns summarized responses designed for decision-making.
Raw data such as call transcripts, message bodies, and activity lists is not returned.
The MCP server is read-only and does not create, update, or delete data in Gong or the CRM. Private calls are excluded from all results.
Authentication model
The MCP server uses Gong OAuth for authentication.
Authentication requires:
Client ID
Client Secret
Authorization code flow
Access models
The MCP server supports two access models:
Personal access: limits data access to the permissions of the authenticated user.
Shared access: provides organization-wide access through a single authorized token.