Enforcement Database is a remote MCP server that gives an AI agent 5 tools, among them get_company_history, get_recall_by_lot, get_warning_letter. It answers at https://argushq.ai/api/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 4 September 2026; the last check, on 17 October 2026, succeeded.
Search Argus HQ public FDA enforcement data: warning letters, recalls, approvals, 483s.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
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"). Inputs: slug |
get_recall_by_lot | Finds every FDA recall record that references a specific product lot number. Inputs: lot_number |
get_warning_letter | Direct lookup of an FDA warning letter. Accepts either the FDA reference number printed in the letter itself (e.g. "320-26-65") or the fda.gov URL slug ID for the letter. Inputs: wl_number |
list_recent_actions | The most recent published FDA warning letters, recalls, approvals, and 483 citations across all streams. Inputs: days |
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. Inputs: query |
Every block below points at https://argushq.ai/api/mcp. Pick your client and copy.
claude mcp add --transport http enforcement-database https://argushq.ai/api/mcp
{
"mcpServers": {
"enforcement-database": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://argushq.ai/api/mcp"]
}
}
}{
"mcpServers": {
"enforcement-database": {
"url": "https://argushq.ai/api/mcp"
}
}
}{
"servers": {
"enforcement-database": {
"type": "http",
"url": "https://argushq.ai/api/mcp"
}
}
}{
"context_servers": {
"enforcement-database": {
"url": "https://argushq.ai/api/mcp"
}
}
}{
"mcpServers": {
"enforcement-database": {
"serverUrl": "https://argushq.ai/api/mcp"
}
}
}{
"mcpServers": {
"enforcement-database": {
"url": "https://argushq.ai/api/mcp"
}
}
}name: Enforcement Database
version: 0.0.1
schema: v1
mcpServers:
- name: Enforcement Database
type: streamable-http
url: https://argushq.ai/api/mcp{
"mcpServers": {
"enforcement-database": {
"httpUrl": "https://argushq.ai/api/mcp"
}
}
}{
"mcpServers": {
"enforcement-database": {
"type": "http",
"url": "https://argushq.ai/api/mcp"
}
}
}{
"mcpServers": {
"enforcement-database": {
"url": "https://argushq.ai/api/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fargushq.ai%2Fapi%2Fmcp&type=streamable_http&id=enforcement-database&name=Enforcement%20Database
It answered our last check on 17 October 2026 in 679 ms. Over 10 checks since 4 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.
Yes. It is published by argushq.ai and served from argushq.ai, the vendor's own domain: https://argushq.ai/api/mcp.
5, as returned by the server's own tools/list on 7 September 2026: get_company_history, get_recall_by_lot, get_warning_letter, list_recent_actions, search_enforcement.
It answered our last check on 17 October 2026 in 679 ms. Over 10 checks since 4 September 2026 it answered 10.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://argushq.ai/api/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: ai.argushq. Endpoint host: argushq.ai. ARD identifier: urn:air:ai.argushq:mcp:enforcement-database.
First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.