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Where is customer data hosted?
In the region each customer chooses1, with no transfer outside it.
1Data Residency
The AutoRFP.ai MCP server turns Claude into a front end for your RFP knowledge: ask in natural language, get a cited answer drawn live from the content your team has already approved.
Connect Claude in a few clicks
- [01]
Enable the MCP server
Turn on the AutoRFP.ai MCP server in your workspace settings and generate a scoped access token. Access stays governed by your AutoRFP.ai permissions.
- [02]
Add the AutoRFP.ai connector in Claude
In Claude, add AutoRFP.ai as a custom connector using the MCP server URL and your token. Claude discovers the available tools automatically.
- [03]
Ask in your own knowledge
Ask Claude to draft an answer and it queries AutoRFP.ai live, returning a cited response grounded in your content.
Frequently asked questions
Something else on your list? Bring it to a demo and we will answer it on one of your own questionnaires.
Which side runs the MCP server?
AutoRFP.ai runs the MCP server; Claude is the client that connects to it. You enable the server in AutoRFP.ai and add it as a connector in Claude.
Is my data exposed to the model?
Only the content your token is scoped to is reachable, and access is governed by your AutoRFP.ai permissions. The token is revocable at any time.
More MCP integrations
ChatGPT
Connect ChatGPT to your RFP knowledge through the AutoRFP.ai MCP server.
Microsoft Copilot
Give Microsoft Copilot access to your RFP knowledge via the AutoRFP.ai MCP server.
Google Gemini
Bring your RFP knowledge into Google Gemini through the AutoRFP.ai MCP server.
Product demo
See Claude and AutoRFP.ai in action
Every draft carries a Trust Score for its sources and a Feedback Score for how fully it answers. Quality is measured by how little your team changes, and every approval records it. In a recent RFP, Red Rover had 95% of responses automated (83 out of 87 requirements). Measure it on your own RFPs in a two-week proof of concept.