Cannabis Regulatory Intelligence

What is Cannabis Regulatory Intelligence?

Cannabis Regulatory Intelligence is an MCP server that provides AI agents with live cannabis compliance data across all 50 US states. It is designed for multi-state operators, investors, compliance attorneys, and ancillary service providers who need structured, scored regulatory answers.

How to use Cannabis Regulatory Intelligence?

Add the server URL to your MCP client’s configuration (e.g., Claude Desktop, Cursor, Windsurf) using the provided JSON snippet. Then ask natural-language questions about regulatory risk, federal policy, entity verification, or market viability to receive scored responses.

Key features of Cannabis Regulatory Intelligence

• 7 parallel federal data sources queried simultaneously
• Fault-tolerant orchestration with empty array fallback
• Four scoring models with numeric scores and verdicts
• Composite regulatory briefing with weighted coefficients
• Automated actionable recommendations from score thresholds
• MCP‑native transport for standards‑compliant clients

Use cases of Cannabis Regulatory Intelligence

• Multi‑state operator compliance management across 5+ jurisdictions
• Cannabis investment due diligence for private equity and funds
• Compliance attorney workflow automation for federal policy tracking
• Market entry analysis for ancillary service providers
• Regulatory briefing generation for boards and investors
• Enforcement and complaint monitoring for plant‑touching operators

FAQ from Cannabis Regulatory Intelligence

What data sources does Cannabis Regulatory Intelligence access?

It accesses 7 federal sources in parallel: Federal Register, Congress.gov, OpenCorporates, BLS, FRED, CFPB, and a website change monitor for state agency portals.

How much does each tool call cost?

Each tool call costs $0.045. The server includes spending limit protection by checking Actor.charge() before executing a query.

Which clients are compatible with this server?

It uses MCP‑native transport (StreamableHTTPServerTransport) and is compatible with Claude Desktop, Cursor, Windsurf, Cline, and any standards‑compliant MCP client.

How does this server compare to manual cannabis compliance research?

Manual research for a single entity takes 3–4 hours and becomes stale quickly. This server automates the entire process, querying live data from 7 sources simultaneously and returning scored, structured answers.

Are there any runtime dependencies?

The server runs as an Apify actor with no cold start (Apify Standby mode) and uses @modelcontextprotocol/sdk v1.12.1. No additional dependencies are required beyond the MCP client configuration.