Bring AutoRFP.ai into Claude, ChatGPT, or any AI assistant

MCP stands for Model Context Protocol — an open standard from Anthropic for letting AI assistants like Claude and ChatGPT securely query data from external systems. Instead of your AI being limited to public training data, an MCP server gives it controlled, authenticated access to your real business systems. AutoRFP.ai exposes a public MCP server so any MCP-compatible AI assistant can query your projects, requirements, and content library.

You install the AutoRFP.ai connector once in Claude, ChatGPT, or any MCP-compatible client. Each user OAuths with their own AutoRFP.ai credentials, which means the assistant inherits their role-based permissions automatically. From that point on, any question they ask the AI can be grounded in your live content library — past projects, approved answers, requirements, tags. No copy-paste. No alt-tab. Same library, every tool.

Most teams try this by pasting product docs into a custom GPT or a Claude project. That works for a static snapshot but goes stale the moment a feature ships or a compliance statement updates. The MCP server keeps Claude and ChatGPT permanently connected to your live AutoRFP.ai library, so anything you have already written and approved — capability statements, security responses, integration details, ROI examples — is available to the assistant in real time. Update it once in AutoRFP.ai and every connected assistant sees the change.

Yes. Paste an incoming RFP into the chat and ask the assistant 'how much of this can we answer from approved library content?' The assistant uses the MCP to semantically search your AutoRFP.ai library, returns a coverage estimate, and flags the requirements with no good match. Most teams cut their bid/no-bid decision from hours of manual triage to a single conversational query — fast enough to make the call before sales schedules a kickoff.

Yes. Every AE or SE with an AutoRFP.ai login can connect the MCP to their own Claude or ChatGPT. From that point on, 'do we have anything on FedRAMP?' or 'what is our approved statement on SAML SSO?' returns the answer directly in their chat thread with the source content cited. The Bid Manager stops being the content librarian for the entire sales floor, and SEs stop spending 40% of their week answering the same technical questions they answered last quarter.

Custom GPTs and Claude Projects work for a static snapshot — paste in some docs, ask questions. They go stale the moment a feature ships, a SOC 2 report is renewed, or a compliance statement changes. The AutoRFP.ai MCP is a live connection to your library, not a copy of it. Update an answer once in AutoRFP.ai and every connected assistant sees the change instantly. No re-uploading docs every quarter, no fighting your team to keep a custom GPT current, and no risk of the AI quoting a statement that was revised three months ago.

No — and that is the point. Without the MCP, Claude and ChatGPT answer questions about your products from public training data, which means generic SaaS-vendor mush or outright hallucinations. With the MCP, the assistant answers using your approved AutoRFP.ai library content and cites the source content item for every claim. If the library does not have the answer, the assistant says so rather than guessing. Your team gets the speed of AI without the risk of an answer that contradicts what you actually sent to the last buyer.

Read-only by design. The MCP server has three explicit scopes — tags:read, projects:read, content:read. There is no write scope. No assistant connected via MCP, and no prompt injection in a document the assistant happens to read, can create, edit, or delete anything in your AutoRFP.ai workspace. Audit, draft, and analyse only. Your source of truth stays governed by the same approval workflows your team already uses inside the AutoRFP.ai web app.