Connect-MCP

Awardia

app.awardia/awardia · v0.1.0

EU public tenders for AI agents: open tenders, award history, competitors and bid intelligence.

MCPremoteno credentials

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 7 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 100/100

What it does: 7 tools · 7 read, 0 write · Documents & PDF

Test call get_coverage: worked (2,132 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: +5
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://awardia.app/mcp

Tools

7 tools listed at last check
  • get_coverage FREE. What data Awardia holds: sources, countries, date range, number of open tenders and award notices. Call this first.
  • search_tenders Free during beta. Find OPEN public tenders (deadline still in the future) by keywords, country, region, CPV sector and value. EU-wide from TED; for Portugal also every national call for tender of any value (Diário da República). Returns title, buyer, country, region, CPV codes, estimated value, subm
  • match_company Free during beta. Describe a company in plain words (what it sells, where). Returns the open public tenders it could bid on, best match first, each with 'competition' signals from the buyer's past contracts (median bidders, single-bid share, % below estimate).
  • award_history Free during beta. Who won past public contracts, at what price, against how many bidders, and by which procedure (open call, prior consultation, direct award). Filter by buyer, winner, CPV sector and region. For Portugal covers every public contract (Portal BASE), incl. small direct awards. Returns
  • bid_intelligence Free during beta. Should I bid, and at what price? For an open tender (tender_id from search_tenders/match_company) or a buyer+sector, analyses comparable past contracts: typical number of bidders, share of single-bid contests, how far below the estimate winners bid, a price range for this tender, i
  • expiring_contracts Free during beta. Public contracts whose term ends soon, so the buyer will likely re-tender: a sales pipeline before tenders are published. Returns buyer, incumbent supplier(s), value, start and expected end date.
  • competitor_profile Free during beta. What a company wins in public procurement: contracts won, value, buyers, sectors, countries, typical discount below estimate, competition level, procedures and regions, recent wins with base price, % below it and award criteria; for Portugal also every contest it entered, its win r

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