Find the companies that won US or UK public contracts, grants or SBIR awards in a window.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
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💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Public Award Monitor.
monitor_public_awardsRegister and window in, the companies that won public work out.
MCP server for the Mamba Labs Government Contract Award Monitor actor on Apify.
Pick a register and a time window. It returns the companies that won public work in that window, one flat row per winning company, with award count, total value, awarding body, award date, and a resolved company domain.
Get an Apify token at console.apify.com/account/integrations.
monitor_public_awardsRegister and window in, the companies that won public work out.
| Input | Type | Required | Notes |
|---|---|---|---|
register | enum | yes | Which award register to read. us_federal_contracts and us_federal_grants from USASpending, us_nih_sbir from NIH RePORTER, uk_contracts_finder and uk_find_a_tender from the UK registers. Default us_federal_contracts. |
window_days | string | no | How many days back from today to read awards for, 1 to 90. US federal data lags about two days, so do not use a one day window on the US registers. Default 7. |
min_award_value | string | no | Drops awards below this amount in the register's own currency. Set to 0 to keep everything. Default 100000. |
max_entities | string | no | Hard cap on billed rows, 1 to 1000. Winners are sorted by total award value, and the run log says how many were dropped. Default 100. |
exclude_government_recipients | boolean | no | Drops winners that are themselves government, universities, or public authorities. Leave this on for the grant registers or you get state departments of education instead of companies. Default true. |
resolve_domains | boolean | no | Looks up each winner's website. Turning it off makes the run roughly 20x faster and returns recipient_domain as null with domain_status not_attempted. Default true. |
domain_confidence_floor | enum | no | strict, standard or loose. Strict returns fewer domains and almost no wrong ones. Loose returns the most domains and about a third of them are wrong. Default standard. |
One row per winning company, not one per award. total_award_value, largest_award_value and award_count_in_window size the opportunity. recipient_register_id is the UEI in the US and the Companies House number in the UK, which is what you match against a CRM. latest_award_url is the deep link to the source record.
You are charged per winning company returned, plus a small actor start fee. max_entities is therefore a hard cost cap.
Pricing is on the actor's Apify page. Running this server consumes Apify credits.
It is a thin client for the Apify actor. It passes your input through and returns the actor's output unchanged. Every behavior described above lives in the actor, not here.
This is not a tender feed and not a procurement pipeline tool. It does not tell you what is open to bid on. It reports awards that have already been made and names the company that won.
Errors are surfaced, never swallowed. An invalid input, an invalid token, an exhausted balance, a timeout, or a run that returns anything other than a dataset all come back as an explicit tool error rather than as an empty result.
The actor is on the Apify Store. This wrapper is MIT licensed.
Built by Mamba Labs
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