Exposes French and EU public procurement data (BOAMP + TED) as MCP tools for AI agents, enabling search for tenders, awards, and winner intelligence via typed filters.
Enables procurement officers and MCP clients to ingest tender and bid documents, run cited multi-agent evaluations with scores and risk flags, and review audit trails while preventing AI from recording award decisions.
MCP server that gives AI agents structured access to Public Procurement Registry data, allowing natural language queries for planned procurements, open tenders, contract awards, buyers, and winning suppliers.
An MCP-only server for evidence-based EPC tender screening that enables AI agents to run a full screening workflow, extract requirements, match company profiles, generate compliance matrices, and produce bid/no-bid advisory memos.