MCP Server
Bring AutoRFP.ai into Claude, ChatGPT, or any AI assistant
Our MCP server plugs AutoRFP.ai directly into Claude, ChatGPT, Microsoft Copilot and any MCP-compatible client. Query your projects, requirements, and content library in plain English, without leaving the chat you already work in.
The Problem
Your AI assistant does not know your business
Claude and ChatGPT are excellent until you ask them something only your AutoRFP.ai library knows. Without a connection to your projects, requirements, and content, they guess. Or they make it up. Either way, the answer ends up wrong and you alt-tab back to the app.
The Solution
One MCP server. Every AI assistant your team already uses.
AutoRFP.ai exposes a public, read-only MCP server with three regional endpoints. Your team can query projects, requirements, and the content library from inside Claude, ChatGPT, or your own internal agent. No new UI. No new login. No write-permission risk.
ChatGPT connector
Find any answer, anywhere, in plain English
Drop the MCP connector into ChatGPT and your team can search every project, requirement, and content item from inside the chat thread they are already in. Semantic plus keyword, not literal string match. Ask "what is due in the next two weeks for Globex" or "what have we said about GDPR" and get the answer with the source content cited. Inherits each user's AutoRFP.ai role-based permissions, so they only see what they would see logged in.
Claude skill
Run a contradiction sweep before your next bid
Claude with a custom skill can walk your entire content library through the MCP, compare answers that cover the same topic, and surface conflicts before they end up in a proposal. Data retention conflicts. SOC 2 mismatches. SLA numbers that drift between the MSA and your pricing page. The skill returns a structured report with owners assigned so cleanup is a fifteen-minute job, not a quarterly project.
Internal agents
Build your own AI workflow on top of your live RFP data
The same MCP server is open to any MCP-compatible client, including agents you build yourself. Wire it into a research-and-write pipeline that takes an inbound RFP, runs deep research on the prospect, queries your content library for best-fit approved content, and drafts a win theme. Everything runs against the same read-only scopes, so no agent can edit or delete content in AutoRFP.ai.
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Other features
FAQ
Frequently asked questions.
What is an MCP?
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.
How do I leverage my RFP content library across AI tools?
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.
How can I get Claude or ChatGPT to understand more about our products and services?
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.
Can my team run a bid/no-bid coverage analysis from inside Claude or ChatGPT?
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.
Can sales reps and SEs self-serve content questions without pinging the Bid Manager?
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.
What does the MCP give us that a custom GPT or a Claude Project does not?
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.
Will the AI hallucinate or invent answers about our company?
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.
Is the connection read-only? Can an AI assistant accidentally change something in AutoRFP.ai?
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.