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.
One connection puts contract opportunities inside the AI your team already uses.
Opportunity feeds solved the wrong half of the problem. Getting notified that something has been published is easy, and a dozen services will do it. Deciding whether the thing published is worth two weeks of a bid team's time is the part that stayed manual, because it needs context the notice itself does not carry: who this buyer has used before, what they paid, whether the requirement has been recycled.
This MCP server exposes the opportunity records and the surrounding history through the same connection. Ask what is open in your categories and you get the notices. Ask why a particular one looks familiar and you get the previous rounds, the incumbent and the values. The second question is the one that decides bids, and it is normally the one that costs an afternoon.
Because it runs over MCP there is no application layer between the records and the person deciding. The assistant your organisation has already rolled out gains access to public procurement data across the US, UK, Canada, Australia, New Zealand and other markets, and the bid team asks it the way they would ask a well-briefed colleague.
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.
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.
Awarded contract records with values and dates. Price against evidence of what this buyer has paid before, not against a guess.
Open opportunities across every covered portal, filtered by the criteria your team actually qualifies on.
Four questions, so the conversation is useful. We come back to you directly.
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