Regulatory & compliance intelligence for AI agents — FDA recalls, federal register, enforcement actions, comment deadlines, by industry + severity. MCP + x402.
SaferSkills independently audited Compliance Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Regulatory & compliance intelligence for AI agents — rules, recalls, enforcement actions, and comment deadlines from free government sources, classified by industry and severity.
Part of the FoundryNet Data Network. Attest your agent's compliance analysis with MINT Protocol. See also: gov-contracts-mcp, brand-intel-mcp, patent-intel-mcp, financial-signals-mcp, weather-intel-mcp.
https://compliance-mcp-production.up.railway.app/mcpio.github.FoundryNet/compliance-mcphttps://compliance-mcp-production.up.railway.app/.well-known/agent-card.jsonclaude mcp add --transport http compliance https://compliance-mcp-production.up.railway.app/mcp{ "mcpServers": { "compliance": { "url": "https://compliance-mcp-production.up.railway.app/mcp" } } }| Tool | Price | What it does |
|---|---|---|
search_regulations | $0.01 | Filtered regulatory entries (industry/agency/type/keyword/severity) |
compliance_alerts | $0.01 | Active alerts for an industry, deadline-urgent — "what do I worry about in pharma this week?" |
recall_check | $0.01 | FDA (food/drug/device) + CPSC product recalls with severity |
enforcement_actions | $0.01 | Enforcement actions with parsed penalty amounts |
comment_deadlines | $0.01 | Upcoming proposed-rule comment deadlines |
daily_digest | $0.02 | Structured daily digest organized by severity |
mint_info | free | FoundryNet Data Network + MINT Protocol |
Free tier: 25 paid-tool queries/day per agent. Then x402: the tool returns an HTTP-402 with a Solana USDC payment memo — pay it, re-call with the same args plus payment_tx=<signature>. An Authorization: Bearer fnet_… key bypasses the paywall.
Every 12 hours the aggregator fetches new entries from Federal Register (rules/proposed/notices), openFDA (food/drug/device recall & enforcement), and CPSC (consumer product recalls), classifies each by industry (keyword taxonomy across 12 sectors) and severity (info → warning → action_required → critical), and stores them in a standalone Supabase project.
Severity logic: Class I / injury-or-death recalls + emergency rules → critical; final rules with a compliance deadline ≤ 90 days or enforcement penalties > $100K → action_required; proposed rules in comment period → warning; notices/guidance → info.
Honesty note: EPA ECHO, OSHA, and SEC enforcement (their public endpoints need multi-step queries or scraping) are planned additional sources; enforcement penalties are currently parsed from Federal Register notices.
MCP registry: io.github.FoundryNet/compliance-mcp
Built by FoundryNet · [email protected]
Live feed: mint.foundrynet.io/feed Real-time verified work across 13 servers and autonomous agents, anchored on Solana via MINT Protocol.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.