An MCP server for RFPs

One connection puts RFPs inside the AI your team already uses.

Solicitations arrive faster than anyone can triage them. A mid-sized capture team watching SAM.gov, a handful of state systems and a couple of international sources is looking at hundreds of notices a week, of which perhaps three are worth a serious read. The screening is not hard work, it is just relentless, and it happens at exactly the point in the week when nobody has time for it.

An MCP server puts that screening where the reasoning already happens. You describe what you actually bid on, the agencies, the NAICS codes, the contract sizes that make sense for your shop, and ask what has posted since you last looked. The assistant answers from the live solicitation records, and the follow-up question about who won the last three rounds is answered from the same connection.

The unglamorous benefit is that nothing new has to be adopted. Capture teams are already skeptical of another platform, and rightly so: most of them have inherited two. Because this runs over MCP, it appears inside Claude, ChatGPT or Copilot, which means the tool your team has to learn is the one they are already using every day.

Use cases

Who is buying, and what is next

What an agency has bought, from whom, at what value, and on what cycle. Contracts coming up for renewal are the pipeline nobody has published yet.

Who you are up against

The suppliers who keep winning in a category, with their award history and estimated win rate. Know the incumbent before you commit a team to the response.

What the work goes for

Awarded contract records with values and dates. Price against evidence of what this buyer has paid before, not against a guess.

What is live right now

Open opportunities across every covered portal, filtered by the criteria your team actually qualifies on.

Tell us what you would want it to answer.

Four questions, so the conversation is useful. We come back to you directly.

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Questions

Does this cover federal and state solicitations?
Both, and more besides. Federal sources sit alongside state systems and international portals, so a team bidding across levels of government is asking one question rather than checking several places.
Can I filter by NAICS, agency or set-aside?
You ask in plain English and the filtering happens against the published fields, so NAICS, agency and set-aside all work where the source publishes them. There is no query syntax to learn, which is most of the reason for using an assistant rather than a search form.
How current is the solicitation data?
It tracks the published sources, so what you see reflects what has been posted rather than a periodic snapshot. Amendments and closing date changes matter more than initial postings for most teams, and those follow the source too.
Which AI assistants support this?
Any MCP client. Claude, ChatGPT and Copilot are the common ones. Building on the protocol rather than on a single vendor means the choice of assistant stays yours.