govauctions.app

Last 30 days

Uptime

100%

Response time

374 ms typical, 582 ms slowest 5%

Last check

3 h ago

Next check

in 3 h

How to call it

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "govauctions-app": {
      "type": "http",
      "url": "https://govauctions.app/api/mcp"
    }
  }
}

9 tools

• search_listings

  Search live GSA federal-surplus auction listings (facts only — no images). Filter by state, category, keyword, price, or distance from a US ZIP code. Works signed out (up to 25 rows per page). Raw listings cover sanctioned federal sources; sold-price comps span the full market.

• get_listing

  Get one live GSA listing by its id (facts only). Works signed out.

• get_sold_comps

  Sold-price comps for a described item, computed across the full government-surplus market in any market listed in `country`. Signed out: coverage (how many comparable sales, confidence, a coarse price band) plus `categoryStats`, the 25th/median/75th percentile of every sale in th

• get_sold_comps_batch

  get_sold_comps for a list of items in one call. Each query is either a string ('2015 Ford F-150') or an object with its own q/category/country/state. Each item costs one valuation lookup, exactly as if sent alone; an item that comes back without a range is not charged. If the mon

• get_flip_score

  GovAuctions Flip Score resale signal for one live lot, from any source, in any market with sold-price comps (valued against that market's comp archive): estimated value, effective bid, discount, and the link to the lot on its source site. Pass the lot id as it appears in a govauc

• get_sold_history

  The individual archived sales behind an item: title, final price, sale month and state, plus the range they produce. Use when you want the evidence rather than just the number. Query-anchored — describe an item; there is no way to list the archive.

• get_price_trend

  Month-by-month median sale price for an item, plus the first-to-last change — 'is this category softening?'. Computed from the same comps as get_sold_comps, so it never contradicts that range. Returns an empty series when too few months clear the sample threshold.

• get_comp_coverage

  How much sold-price data we hold per category for a market, and which categories can never be priced. Check this before building on the comps tools — it is the honest answer about what we cannot do.

• get_api_usage

  This key's usage for the current month: total calls and the separate valuation allowance (which comps, sold history, trend and flip-score draw down), plus the reset date. Call it to pace a long run instead of hitting a 429 mid-task.

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