Atlas Przetargów
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Alternatives to Atlas Przetargów
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Related Servers
- FlicenseAqualityCmaintenanceEnables searching and analyzing Polish public procurement tenders from BZP and TED, including filtering, tender details and timelines, offers and contract values, buyer/contractor profiles, CPV code lookup, and regional statistics, with optional AI-summary endpoints.121-
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to search and retrieve Poland's official public procurement notices from the e-Zamówienia/BZP bulletin without any API key, covering the latest published contract notices as well as filtering by keyword, CPV code, date range, or contracting authority.20 npmMIT
- AlicenseNot gradedqualityDmaintenanceFind, analyze, and score Polish public tenders (BZP): parsed requirements, deadlines, certificates, and bid-fit scoring against your company profile.5 npmMIT
- AlicenseAqualityCmaintenanceGives Claude direct, keyless access to Polish public registries: it validates NIP checksums, checks a company's VAT status and bank account against the VAT whitelist, pulls KRS court-registry extracts, and fetches the correct NBP exchange rate for an invoice date. Runs locally as an MCP server for Claude Desktop, Claude Code, Cursor and other MCP clients.5MIT
- AlicenseAqualityCmaintenanceExposes 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.462 PyPIMIT
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants such as Claude, ChatGPT, and Cursor to search Korean public procurement bid announcements, view detailed bid information, access pre-specifications, and analyze award history from 나라장터 (Public Procurement Service), with source links and no installation or API key required for basic use.MIT
TDQS
Scored across 8 tools
Every tool has a clearly distinct purpose with no ambiguity. For example, get_buyer retrieves buyer profiles, get_tender fetches specific tender details, and search_tenders performs broader searches, each targeting different resources and actions. The descriptions explicitly differentiate their functions, making misselection unlikely.
All tool names follow a consistent verb_noun pattern, such as get_buyer, search_tenders, and get_category_stats. This uniformity enhances readability and predictability, with no deviations in naming conventions across the set.
With 8 tools, the count is well-scoped for the server's purpose of Polish public procurement analysis. Each tool earns its place by covering distinct aspects like entity profiles, tender searches, and statistical data, avoiding both thinness and overload.
The tool set provides complete coverage for the domain, including CRUD-like operations such as fetching entities and tenders, searching with filters, and retrieving statistical insights. There are no obvious gaps, as it supports due diligence, market analysis, and competitive benchmarking workflows.