Regulatory & compliance intelligence for AI agents — FDA recalls, federal register, enforcement actions, comment deadlines, by industry + severity. MCP + x402.
claude mcp add compliance-mcp -- uvx compliance-mcp{
"mcpServers": {
"compliance-mcp": {
"command": "uvx",
"args": ["compliance-mcp"]
}
}
}MCP Servers overview
# Regulatory & Compliance Intelligence MCP
**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](https://mint-mcp-production.up.railway.app/mcp). See also:
> **gov-contracts-mcp**, **brand-intel-mcp**, **patent-intel-mcp**,
> **financial-signals-mcp**, **weather-intel-mcp**.
Live MCP endpoint (Streamable HTTP):
`https://compliance-mcp-production.up.railway.app/mcp`
## Tools
| 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.
## How it works
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.
## Connect
Smithery: `@foundrynet/compliance-intel` · MCP registry: `io.github.FoundryNet/compliance-mcp`
```json
{ "mcpServers": { "compliance": { "url": "https://compliance-mcp-production.up.railway.app/mcp" } } }
```
Built by [FoundryNet](https://foundrynet.io) · hello@foundrynet.io
What people ask about compliance-mcp
What is FoundryNet/compliance-mcp?
+
FoundryNet/compliance-mcp is mcp servers for the Claude AI ecosystem. Regulatory & compliance intelligence for AI agents — FDA recalls, federal register, enforcement actions, comment deadlines, by industry + severity. MCP + x402. It has 0 GitHub stars and was last updated today.
How do I install compliance-mcp?
+
You can install compliance-mcp by cloning the repository (https://github.com/FoundryNet/compliance-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is FoundryNet/compliance-mcp safe to use?
+
FoundryNet/compliance-mcp has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.
Who maintains FoundryNet/compliance-mcp?
+
FoundryNet/compliance-mcp is maintained by FoundryNet. The last recorded GitHub activity is from today, with 0 open issues.
Are there alternatives to compliance-mcp?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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