Remote MCP server to run your Atako AI agents: chat, projects, files, integrations and channels.
- Passed: Handshake
- Passed: Tools listed
- Passed: Updated recently
Median latency 132 ms · Last checked
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Evidence for your next connection.
Independent measurements of remote MCP servers. Every observation has a timestamp.
Read-only probesMCP server · Code & DevOps
EU public tenders for AI agents: open tenders, award history, competitors and bid intelligence.
1 failed · 8 not measured
Median of successful probes over 7 days
Share of countable probes over 30 days, including daily rollups. Auth challenges are excluded.
Tool definitions returned by this server
Independent monitoring
Outdated check
Last connection measurement is over 24 hours old. Current availability is unknown.
Last checked| Test area | Passed | Failed | Unmeasured |
|---|---|---|---|
ConnectionCan a client connect and discover tools? | 5 | 0 | 0 |
Reliability & speedDoes it respond consistently and quickly? | 0 | 0 | 4 |
Access & authenticationWhat is required to use this server? | 1 | 0 | 2 |
Tool qualityAre the tool definitions usable by an agent? | 4 | 0 | 0 |
Publisher identityCan the publisher be traced to its source? | 3 | 1 | 2 |
Unmeasured means there is not enough evidence to decide. How these checks work
Start using Awardia
Choose your client, copy the configuration, then enable the server in your client’s MCP settings.
Run this command in your terminal, then restart Claude Code.
Claude Code
claude mcp add --transport http awardia https://awardia.app/mcpCapabilities
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 summary stats, top winners and recent awards.
DiscoveredFree during beta. Should I bid, and at what price? For an open tender (tender_id from search_tenders/match_company, or a pasted tender link) 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, incumbents, the companies that most often bid (with win rates), how often the buyer awards without an open call, and recent awards. Compares with the same buyer and sector, else the same kind of work nearby (district). States its sample size. Does not read the tender documents.
DiscoveredFree 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 rate, its most frequent rivals (who beat whom) and its recent losses. Search by name or tax id (NIF). These are public records: report facts, not conclusions about wrongdoing.
DiscoveredFree 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.
DiscoveredFREE. What data Awardia holds: sources, countries, date range, number of open tenders and award notices. Useful to check before searching a country or period.
DiscoveredFree 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).
DiscoveredFree 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, submission deadline, official link and tender documents link, plus 'competition': how contested this buyer's past contracts in the same kind of work were (median bidders, single-bid share, median % below the estimate, sample size). Use bid_intelligence for a price range and rivals. If nothing matches exactly, it widens (the place's whole district, then without keywords, then without the place) and says so in 'widened_to' and 'note'.
DiscoveredRecent measurements
| Checked | Result | Response | Tools |
|---|---|---|---|
| Connected | 91 ms | 7 |