Answers grounded in real calls
Pull customer language and objections straight from Gong so responses speak to what the buyer raised, not generic boilerplate.
AgentRevenue Intelligence
Gong
AutoRFP.ai connects to the Gong MCP server to pull call and deal insights into responses.
How it works
AutoRFP.ai acts as a Model Context Protocol (MCP) client to the Gong MCP server, bringing call summaries, deal context, and customer language into your drafts — grounded in real conversations.
Some of your best answers come from what customers actually say. As an MCP client to the Gong MCP server, AutoRFP.ai brings call and deal context into your drafts — and the same client model lets us connect to a fast-growing ecosystem of MCP servers, far beyond a fixed integrations list.
Connect Gong in a few clicks
- 1
Add the Gong MCP server
In AutoRFP.ai, add the Gong MCP server endpoint and authorize access. AutoRFP.ai connects as a client using your scoped Gong credentials.
- 2
Choose what to surface
Select the calls, deals, or libraries AutoRFP.ai may query, keeping retrieval within your Gong permissions.
- 3
Draft with conversation context
When you generate a response, AutoRFP.ai can pull relevant Gong context so answers reflect what buyers actually said.
Deal-aware responses
Bring deal context into the draft so each answer fits the opportunity it belongs to.
Client-side and governed
AutoRFP.ai connects as an MCP client within your Gong permissions, querying live with no data duplicated or exported.
Frequently asked questions
Which side runs the MCP server here?
Gong runs the MCP server; AutoRFP.ai is the client that connects to it. This is the reverse of our AI-assistant connectors (Claude, ChatGPT, Copilot), where AutoRFP.ai runs the server.
Does this work with any MCP server?
The same client model lets AutoRFP.ai connect to a growing set of MCP servers — Gong is one example. If a tool exposes an MCP server, AutoRFP.ai can typically connect to it.
See Gong and AutoRFP.ai in action
Our customers win more deals, faster, with higher-quality responses — and we think you can too.