MCP Server

SupplyGraph.AI MCP Server

io.github.SupplyGraphAI/supplygraph

What is the SupplyGraph.AI MCP server?

Official MCP: continuous supply-chain risk monitoring and early warning, not a one-off report.

Copy-paste configuration for popular MCP clients.

transport: http

Config generated by PluginBench — verify against the source before use.

Environment / auth

Authorization
secret
SupplyGraph.AI API key. Register and create a key at https://supplygraph.ai/zk_chat_os/dashboard/dashboard.html — if you are not signed in you will be redirected to login; new users can register there. After login, open A2A / MCP and click Create Production Key or Create Sandbox Key. Send the header as Bearer <api_key> (one Bearer prefix, then the raw key). Optional for initialize and tools/list; required for tools/call.

~/.cursor/mcp.json

{
  "mcpServers": {
    "supplygraph": {
      "url": "https://mcp.supplygraph.ai/mcp"
    }
  }
}

Official SupplyGraph.AI data MCP: POIs, parks, regions, industry chains, and companies.

Real-time supply chain risk intelligence — 24 tools, proprietary indices, predictive signals

Active

Persistent semantic memory for SQL databases. Postgres, MySQL, MSSQL, SQLite.

Python

MIT

Active

Code-review MCP: review a GitLab MR or GitHub PR against the whole codebase, not just the diff.

Python

MIT

Maintained

An MCP server that used to create notes

Active

Policy-as-code guardrails for AI coding agents, validated via OPA, Conftest, Checkov & Semgrep.

Python

Apache-2.0