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io.github.greencore-solutions/gsc-marketplace
serveur MCP (Model Context Protocol) · gsc-marketplace 1.4.1
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.
Est-ce que io.github.greencore-solutions/gsc-marketplace est sûr ?
Au dernier audit MCP Hub, le serveur MCP « io.github.greencore-solutions/gsc-marketplace » 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 11 outils
- contact_trading_desk≈ 102 tokens
The human channel. The GSC Trading Desk is informed by Navigator across all GSC agentic assets — a human reads, a human answers. Use it for anything a person should decide; agents use Instant Messaging.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "contact_trading_desk", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_acm_68000≈ 105 tokens
The deterministic signal protocol every GSC surface speaks: seven signals, GS1-anchored, append-only, non-substitutable. Canon resolves on acm-68000.ai / .org and the standards beacon; the gen-2 door is cpg-68000.ai.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "get_acm_68000", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_aio_agent_fleet≈ 113 tokens
The AIO Agent class and its regional hosts: signed, resident, addressable resolvers with market × category remits — the NextGen identity register is the signed Card, verifiable against each host's jwks. Status is only what the wire says.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "get_aio_agent_fleet", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_brand≈ 210 tokens
Step 2 — VERIFIED: is the brand on the CPG Knowledge Graph for this market, and at what SPARKS completeness tier (100 = resolvable pack/size record held · 8 = registered, pending · floor = STANDARD default). Returns the market's supply/demand context and both doors to act. No prices, no stock, no terms — those go through the doors.
Paramètres, retour & exemple (2)
Paramètresbrand· string · requis
Brand name as spelled on the graphmarket· string · requis
SM-ECO-10060 member code or namespace, e.g. BR or BR-ECO-10060
Exemple d'appel{"name": "get_brand", "arguments": {"brand": "texte", "market": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_brand_identifiers≈ 222 tokens
Step 3 — ANSWERABLE: GSC publishes ONLY its own GS1-registered identifiers (the 990832300xxx block) on any surface; third-party GTINs are never stored on the graph's entity universe and never appear here. A GTIN the caller already holds resolves live on the CPG Knowledge Graph (resolve_gtin, resolve_sparks, check_eligibility). The demo brand carries GSC's rail GTIN.
Paramètres, retour & exemple (2)
Paramètresbrand· string · requis
Brand namemarket· string · optionnel
SM-ECO-10060 member code or namespace, e.g. BR or BR-ECO-10060
Exemple d'appel{"name": "get_brand_identifiers", "arguments": {"brand": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_cpg_knowledge_graph≈ 124 tokens
353,532 makers · 8,619 retail banners · 25 markets (statement of record, read live: https://gsc-radar.ai/statement.json). The Beauty & Personal Care source of truth for AI agents, classified on SPARKS; 14 read tools over MCP; the data surface every marketplace answer resolves against.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "get_cpg_knowledge_graph", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_marketplace_operators≈ 174 tokens
The demand side per market as the CPG Knowledge Graph publishes it (retail banners — public registry data), each carrying an agentic-posture field from a fixed taxonomy and sorted by it. Neutral by design: no tiers, no pursuit language, no relationship claims, no named individuals. Posture is wire evidence only; 'unassessed' means none collected yet.
Paramètres, retour & exemple (1)
Paramètresmarket· string · optionnel
Omit for the 50-market summary
Exemple d'appel{"name": "get_marketplace_operators", "arguments": {"market": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_radar≈ 72 tokens
The public network figures as GSC Radar publishes them (live JSON), macro numbers only.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "get_radar", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - get_x402_rail≈ 116 tokens
What GSC-Marketplace declares about x402: header, network, asset, status — and where the single paid endpoint lives (https://gsc-marketplace.ai/api; its terms are stated in its 402 payload only, never here). Door: https://gsc-marketplace.ai/x402 · skill: x402-settlement.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "get_x402_rail", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - instant_message_agents≈ 118 tokens
How an agent lodges an RFQ, a terms request, or an escalation with GreenCore Solutions Corp. — typed, identified, ticketed, human-signed (IA-MESSAGE). Points at the existing door: the x-gsc-inbound address and the transaction MCP. No new write path here.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "instant_message_agents", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}]} - search_brands≈ 308 tokens
When a marketplace or retail sourcing agent calls, it leaves with a brand it can act on — found, verified, and answerable — with Instant Messaging for agents or the human-in-the-loop GSC Trading Desk as next steps. Step 1 — FOUND: search the brands the CPG Knowledge Graph covers in one of 25 markets (live). Returns brand names from the graph's SPARKS depth surface; then call get_brand to verify, get_brand_identifiers for the identifier policy. Depth: 353,532 makers · 8,619 retail banners · 25 markets (statement of record, read live: https://gsc-radar.ai/statement.json). Brands, makers and banners are separate registries — never summed.
Paramètres, retour & exemple (3)
Paramètreslimit· integer · optionnel
Max results, default 50query· string · optionnel
Optional name fragment (accent-insensitive)market· string · requis
SM-ECO-10060 member code or namespace, e.g. BR or BR-ECO-10060
Exemple d'appel{"name": "search_brands", "arguments": {"market": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}]}
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