If you're building AI agents with Claude, GPT, or any LLM, you've probably hit the "real data" wall. Your agent can reason, plan, and write code -- but it can't actually look up whether a business is registered in Texas or check FDA recall history.
Turns out there's a clean way to fix this using MCP (Model Context Protocol) and Apify.
The Problem
Most government data lives behind clunky portals that were built in 2003. No APIs. No bulk export. Pagination that breaks after 50 results. Your AI agent can't interact with these sites directly.
The usual workaround is to write a custom scraper for each data source. That works, but now you're maintaining 10+ scrapers, handling rate limits, dealing with anti-bot, and your agent still can't call them natively.
The Fix: MCP Gateway + Pre-Built Scrapers
MCP (Model Context Protocol) lets AI agents call external tools as if they were native functions. Apify's MCP gateway (mcp.apify.com) exposes every public Apify actor as an MCP tool.
That means if someone has already built a scraper for the data source you need, your agent can call it directly -- no custom code, no API keys for most sources, no maintenance.
What's Actually Available
Here's a sample of government data sources that are already accessible this way:
Business Verification (Secretary of State)
- Texas Business Entity Search -- Search TX Comptroller for LLCs, corps, franchise tax status, officers, registered agents
- California Business Entity Search -- Search CA SOS for entity registrations, standing status, agent of service
- New York Business Entity Search -- Search NY DOS for entity details, CEO, process agents
- Florida Sunbiz Entity Search -- Search FL Division of Corporations (Sunbiz) for entity filings, officers, addresses
Financial & Regulatory
- SEC EDGAR Company Filings -- Search 10-K, 10-Q, 8-K, insider trading by ticker or company
- FDIC BankFind -- Bank institution lookup, financial data, branch locations
- FEC Campaign Finance -- Candidate and committee fundraising data
- OFAC Sanctions Screening -- SDN list search for KYC/compliance
Healthcare
- NPI Registry -- Search every US healthcare provider by name, specialty, or location
- FDA Drug Adverse Events -- Drug safety reports and recall data
- ClinicalTrials.gov -- Active clinical trials by condition, intervention, or sponsor
- CMS Hospital Quality -- Hospital star ratings, readmission rates, patient experience
Safety & Environment
- NHTSA Vehicle Recalls -- Search vehicle recalls by make, model, year
- CPSC Product Recalls -- Consumer product safety recalls
- EPA Toxic Release Inventory -- Facility-level toxic chemical releases
- FEMA Disasters -- Federal disaster declarations and assistance data
How to Set It Up
If you're using Claude Desktop, add this to your MCP config:
{
"mcpServers": {
"apify": {
"command": "npx",
"args": ["-y", "@anthropic-ai/mcp-proxy", "https://mcp.apify.com/sse"],
"env": {
"APIFY_TOKEN": "your-apify-token-here"
}
}
}
}
Once connected, your agent can call any of these data sources naturally:
"Check if Acme Corp is registered in Texas and pull their latest SEC filing."
The agent will call the TX business search and SEC EDGAR actors behind the scenes, get structured JSON back, and synthesize the answer.
Why This Matters
Government data is the most reliable source of truth for business verification, compliance, and due diligence. But it's been locked behind terrible UIs for decades.
MCP + pre-built scrapers means your AI agent can access this data the same way it accesses a calculator or a web search -- as a native tool call. No custom scrapers. No maintenance. Structured data in, structured data out.
If you're building agents for KYC, sales intelligence, legal research, or compliance workflows, this is probably the fastest path to production.
I built these actors because I kept running into the same problem: government data is public but not accessible. All of them run on Apify with pay-per-result pricing, so you only pay for what you use.
Top comments (0)