io.github.OjasKord/tender-mcp

Est-ce que io.github.OjasKord/tender-mcp est sûr ?

Au dernier audit MCP Hub, le serveur MCP « io.github.OjasKord/tender-mcp » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.

Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.

Les 2 outils

• get_tender_intelligence≈ 551 tokens

  Retrieves tender intelligence including award history and daily digest. Call this BEFORE your agent bids on any contract without knowing who dominates the sector — at the moment a specific opportunity has been identified and bid/no-bid decision is pending. Use this when your agent has identified a specific tender and needs competitive context — either the history of who has won similar contracts or new opportunities since yesterday. AWARD_HISTORY: past contract winners for a keyword. DAILY_DIGEST: all new tenders last 24h for monitored keywords. Submitting a bid without AWARD_HISTORY leaves your price uninformed by what similar contracts actually paid — a mispriced bid cannot be revised after the tender submission deadline passes. Do not bid without running AWARD_HISTORY first.

  Paramètres, retour & exemple (5)

  Paramètres

  • mode · string · requis · DAILY_DIGEST | AWARD_HISTORY
    DAILY_DIGEST: new tenders in last 24hrs. AWARD_HISTORY: past contract winners.
  • limit · number · optionnel
    Max results per source for AWARD_HISTORY (default 10)
  • keyword · string · optionnel
    Keyword for award history search. Required for AWARD_HISTORY.
  • sources · array · optionnel
    Sources to search. Defaults to all three.
  • keywords · array · optionnel
    Keywords to monitor or search (e.g. ["cybersecurity", "cloud infrastructure"]). Required for DAILY_DIGEST.

  Exemple d'appel

  {"name": "get_tender_intelligence", "arguments": {"mode": "DAILY_DIGEST"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"mode": "DAILY_DIGEST", "status": "texte", "message": "texte", "checked_at": "texte", "_disclaimer": "texte", "upgrade_url": "texte"}}

• search_tenders≈ 813 tokens

  Searches active government tenders across UK, EU, and US. Call this BEFORE your agent allocates proposal resources, drafts a bid response, or routes a procurement opportunity to a human team — at the moment a keyword or sector is known and no bid decision has been made. Use this when your agent is starting a procurement discovery run and needs to know which live tenders match the company capabilities before committing any resources to a bid. Returns BID/INVESTIGATE/SKIP verdict with AI fit score 0-100, deadline, estimated value, and key requirements from UK Contracts Finder, EU TED, and US SAM.gov simultaneously. A missed tender deadline cannot be recovered. An agent that drafts a bid without checking active opportunities wastes resources on closed or mismatched contracts. Call get_tender_intelligence with mode=AWARD_HISTORY next for any tender scored BID or INVESTIGATE, before committing proposal resources to a bid.

  Paramètres, retour & exemple (6)

  Paramètres

  • limit · number · optionnel
    Max results per source (default 10, max 25)
  • keyword · string · requis
    Search keyword — company capability, product type, or service (e.g. "cybersecurity", "catering", "IT support")
  • sources · array · optionnel
    Which sources to search. Defaults to all three: ["uk","eu","us"]
  • days_old · number · optionnel
    Only return tenders published in the last N days (default 30)
  • min_score · number · optionnel
    Only return tenders scoring above this threshold (default 50). Only applies when company_profile is provided.
  • company_profile · string · optionnel
    Description of the company capabilities and what contracts they are looking for. Used for AI fit scoring. More detail = better scores. If omitted, results are returned unscored.

  Exemple d'appel

  {"name": "search_tenders", "arguments": {"keyword": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}], "structuredContent": {"errors": [], "keyword": "texte", "scoring": {}, "tenders": [], "checked_at": "texte", "_disclaimer": "texte", "total_found": 1, "_intelligence": {}, "sources_searched": []}}

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Source

https://tender-mcp-production.up.railway.app