MCP serverAI Assistant

Google Gemini

Bring your RFP knowledge into Google Gemini through the AutoRFP.ai MCP server.

Book Demo

How it works

AutoRFP.ai exposes a Model Context Protocol (MCP) server, so Google Gemini can securely reach your approved RFP knowledge and draft cited answers live — no copy-paste, no stale exports.

With the AutoRFP.ai MCP server, Google Gemini answers in your own knowledge: ask a question and get a cited draft pulled live from the content your team has already approved.

Connect Google Gemini in a few clicks

  1. 1

    Enable the MCP server

    Turn on the AutoRFP.ai MCP server in your workspace and generate a scoped access token.

  2. 2

    Add the AutoRFP.ai connector

    Register AutoRFP.ai as an MCP connector for Gemini using the server URL and your token; the available tools are discovered automatically.

  3. 3

    Draft from your knowledge

    Ask Gemini to answer a question and it queries AutoRFP.ai live, returning a cited response grounded in your content.

Cited answers, inside Gemini

Gemini drafts from your approved knowledge and returns the sources, so answers are verifiable rather than guessed.

Secure, scoped access

The connector respects your AutoRFP.ai permissions and uses a revocable token — Gemini only reaches what you allow.

Always current

Live queries mean every answer reflects your latest approved content, with no export or sync to maintain.

Frequently asked questions

Which side runs the MCP server?

AutoRFP.ai runs the MCP server; Google Gemini is the client that connects to it via an MCP connector.

Does Gemini only see what we allow?

Yes. The connector uses a scoped, revocable token and respects your AutoRFP.ai permissions, so Gemini reaches only the knowledge you authorize.

More MCP integrations

All integrations →

See Google Gemini and AutoRFP.ai in action

Our customers win more deals, faster, with higher-quality responses — and we think you can too.

Book Demo