Skip to content
Back to search
100
MCP live v1.0.0 streamable-http

ai.argushq/enforcement-database

ai.argushq/enforcement-database

Search Argus HQ public FDA enforcement data: warning letters, recalls, approvals, 483s.

Uptime
50.0%
2 probes
Response
1242ms
last probe
Tools
5
callable

Tools · 5

search_enforcement

Full-text search across all 1,000+ Argus HQ FDA enforcement pages (warning letters, recalls, approvals, 483 inspections) by keyword, product name, or company name.

get_company_history

Every FDA warning letter, recall, approval, and 483 citation Argus HQ has recorded for a given company, by its Argus HQ company slug (e.g. "pfizer-inc").

get_recall_by_lot

Finds every FDA recall record that references a specific product lot number.

get_warning_letter

Direct lookup of a warning letter by its FDA reference/source ID (e.g. "320-24-01").

list_recent_actions

The most recent published FDA warning letters, recalls, approvals, and 483 citations across all streams.

Similar MCP servers embedding-nearest

SYNTHORA openFDA Food Enforcement & Recall Feed
Returns FDA food enforcement / recall records from openFDA api.fda.gov/food/enforcement: product_description, reason_for_recall, classificat
0 tools · http
EruditePay — FDA Recalls
Food, drug, device safety recalls and enforcement. [x402: $0.01/call on base-mainnet, category=data]
0 tools · http
openFDA Drug Recalls
Query the openFDA drug recalls dataset by search expression, no key, US FDA public data. Returns matching records with structured fields. Fo
0 tools · http
DeepRecall
Search 120,000+ recalled products from 8 global safety agencies using AI similarity.
0 tools
openFDA Food Recalls
Query the openFDA food recalls dataset by search expression, no key, US FDA public data. Returns matching records with structured fields. Fo
0 tools · http
483 Risk Radar
FDA & NHTSA regulatory risk intelligence for AI agents: compliance, 510(k) evidence, postmarket surveillance, and reimbursement data.
0 tools

How to use

Add to your Claude Desktop / Cursor / Cline MCP config:

{
  "mcpServers": {
    "ai.argushq/enforcement-database": {
      "url": "https://argushq.ai/api/mcp",
      "transport": "streamable-http"
    }
  }
}