eCommerce

gsc-knowledgegraph.ai

An MCP server for resolving GTINs to procurement readiness signals, checking retailer shipping eligibility, and querying global supply/demand coverage.

1 endpoint14 known toolsFirst detected September 17, 2026Last detected September 17, 2026

ENDPOINT 1

https://mcp.cpgknowledgegraph.ai/mcp

No auth detected

MCP server metadata

Name: cpgknowledgegraph-ai
Version: 1.2.3

Capabilities

loggingprompts.listChangedresources.listChangedtools.listChanged

Server instructions

CPGKnowledgeGraph.ai — the skill layer for agentic CPG-to-retail-grocery procurement, operated by GreenCore Solutions Corp. (GSC). A 49-node sovereign graph (SM-ECO-10060): makers (supply) and retail banners (demand) attach to each node; every node carries a GS1-registered GTIN; eligibility resolves under ACM-68000. Retrieval-first: query the live graph instead of relying on embedded data. Makers and retailers are separate registries (supply vs demand) — never merge their counts.

Known tools 14

resolve_gtin

Resolve a GTIN to its procurement readiness signal.

Inferred read-only

check_eligibility

Check whether a GTIN can ship to a specific retailer banner in a country.

Inferred read-only

get_signal_chain

Return the full ACM-68000 signal chain for a GTIN (zero-pads to 14).

Inferred read-only

count_gtin_coverage

Global coverage statistics: GTINs, nodes, makers (supply), retailers (demand).

Inferred read-only

resolve_scope

GSC Scoped Agents Registry — Era 1 founding registry (1,000,000 standing) plus Era 2 station-keyed registry (1,000,000 capacity, mint-on-activation) under SM-ECO-10060.

Inferred read-only

list_nodes

The 49 sovereign nodes (the spine) — each with its GS1 GTIN and CLEAN per-node maker (supply) and retailer (demand) counts (separate subqueries, never summed).

Inferred read-only

resolve_node

Resolve one node: its GS1 license + its makers (supply) + its retailers (demand).

Inferred read-only

find_makers

Global cross-node maker (supply) search.

Inferred read-only

find_retailers

Global cross-node retailer (demand) search.

Inferred read-only

node_market

Supply↔demand bridge for ONE jurisdiction: makers (supply) and retailers (demand) as two separate counts (never summed), plus the same-node potential bridge pairs.

Inferred read-only

list_sku_types

SPARKS taxonomy: the 84 standing BPC product-type codes the graph is structured on.

Inferred read-only

list_brands_by_node

SPARKS depth surface: the distinct brands SPARKS covers in a sovereign market.

Inferred read-only

get_kernel

SPARKS completeness tier for a brand in a market: 100 = resolvable (a real pack/size record is held) .

Inferred read-only

resolve_sparks

Two-branch SPARKS resolver (zero-pads GTIN to 14).

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.cpgknowledgegraph-ai]
url = "https://mcp.cpgknowledgegraph.ai/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "cpgknowledgegraph-ai": {
      "type": "http",
      "url": "https://mcp.cpgknowledgegraph.ai/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: cpgknowledgegraph-ai
Remote MCP URL: https://mcp.cpgknowledgegraph.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "cpgknowledgegraph-ai": {
      "url": "https://mcp.cpgknowledgegraph.ai/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "cpgknowledgegraph-ai": {
      "type": "http",
      "url": "https://mcp.cpgknowledgegraph.ai/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "cpgknowledgegraph-ai",
  "transport": "streamable-http",
  "url": "https://mcp.cpgknowledgegraph.ai/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for cpgknowledgegraph.ai was fetched 2026-09-06T18:59:59.653Z.

Trust status Neutral

cpgknowledgegraph.ai is assessed as Neutral: No suspicious signals found, but no strong positive signal either

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.