Categories › Business & Finance › Market data, stocks & crypto
Public procurement for AI agents: Chile tenders and Compra Ágil, fit, buyer and supplier history.
Remote server: your requests and data go to mcp.andesprotocol.com. Claude Code: claude mcp add --transport http andes-protocol https://mcp.andesprotocol.com/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
search_tenders — Use this first to find ChileCompra public tenders matching a need. Pass Spanish keywords for best results (e.g. 'firewall', 'notebook', 'cibget_tender_detail — Use this before deciding whether a tender is worth pursuing. Pass a tender_id from search_tenders. Returns buyer, description, dates, estimaassess_fit — Use this to decide whether a tender is worth your user's time. Pass tender_id plus company_profile (sector, capabilities, brands, certificatbuyer_history — Use this to learn how a buyer behaves before bidding: what it awarded, to which suppliers, how many bidders its tenders draw (median_bidderssupplier_history — Use this to size up a supplier, your user's own company or a competitor: what it won, from which buyers, in which categories, how many biddemarket_signals — Use this to understand a public procurement market before choosing where to bid: the largest awards, supplier concentration (top-3 share, HHprepare_quote — Use this when your user decided to quote: it builds the kit their person needs to submit, ready for one last click in Mercado Público (AndesNot tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.