483 Risk Radar — FDA & NHTSA regulatory-risk MCP server for AI agents. Hosted at radar.healthai.com/api/mcp.
git clone https://github.com/thehealthai/fda-risk-radar-mcp{
"mcpServers": {
"fda-risk-radar-mcp": {
"command": "node",
"args": ["/path/to/fda-risk-radar-mcp/dist/index.js"]
}
}
}Resumen de MCP Servers
# Constat — 483 Risk Radar (MCP server)
[](https://mcpqueen.com/s/com.healthai/radar)
The MCP server behind [**Constat**](https://constat.dev) — FDA & NHTSA
regulatory-risk intelligence for AI agents, over the Model Context Protocol.
Live public regulatory data — recalls, adverse events, warning letters, 510(k)
premarket evidence, postmarket drift signals, reimbursement pathways, and
vehicle safety. **Decision support, not regulatory advice.**
- **Endpoint:** `https://constat.dev/api/mcp` (legacy `https://radar.healthai.com/api/mcp` still serves)
- **Transport:** Streamable HTTP (JSON-RPC 2.0)
- **Auth:** none for the free tier (60 req/min per IP; an optional `X-API-Key`
header raises limits — shared with [Clarity MCP](https://github.com/thehealthai/clarity-mcp),
request one at `POST https://mcp.healthai.com/register`)
- **Registry:** [`com.healthai/radar`](https://registry.modelcontextprotocol.io) (official MCP registry)
The evidence corpus and tool logic run hosted at the endpoint above. This repo
also ships `server.mjs`, a zero-dependency **stdio bridge** to that endpoint, so
stdio-only MCP clients can use the server like any local one:
```bash
node server.mjs # stdio MCP server, bridges to constat.dev/api/mcp
```
```jsonc
// e.g. in an MCP client config
{ "mcpServers": { "constat": { "command": "node", "args": ["/path/to/server.mjs"] } } }
```
```bash
docker build -t constat-mcp . && docker run -i constat-mcp # same, containerized
```
## Tools
| Tool | What it does |
|------|--------------|
| `device_risk_lookup` | FDA compliance risk for a device category by 3-letter product code — recalls, MAUDE trend, warning-letter matches, composite score |
| `firm_compliance_history` | Source-bounded FDA public-record timeline for a device firm — recalls, warning letters, 483s, clearances |
| `watchlist_diff` | Machine-detected FDA public-record changes for monitored product codes since a given date |
| `device_evidence_lookup` | Parsed 510(k) premarket evidence for an AI/ML device, each field with a verbatim source quote + page |
| `evidence_search` | Find AI/ML clearances by product code, panel, applicant, clinical data, sensitivity metric, or PCCP |
| `predicate_chain` | Trace a device's predicate ancestry with each predicate's age at clearance |
| `evidence_cohort_stats` | Reporting-rate stats across the parsed AI/ML corpus — presence figures with denominators |
| `device_postmarket_lookup` | Post-clearance intelligence for one device — recalls, MAUDE trend, letter/483 matches, drift signals |
| `postmarket_search` | Find devices by postmarket criteria — drift signals, recalls in 24mo, rising MAUDE trend |
| `cohort_postmarket_stats` | Postmarket presence rates across the AI/ML cohort, each with its denominator |
| `reimbursement_lookup` | Clearance-to-payment pathway by K/DEN or CPT code — NTAP, Cat I/III, CMS rates, HCPCS, LCDs |
| `reimbursement_search` | Find payment pathways by mechanism, CPT category, NTAP status, applicant |
| `reimbursement_stats` | Mechanism distribution across the reimbursement corpus with dollar ranges |
| `vehicle_risk_lookup` | NHTSA safety history by make/model/year — recall campaigns and complaint stats |
## Quick start
```bash
curl -s https://constat.dev/api/mcp \
-H 'content-type: application/json' \
-H 'accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call",
"params":{"name":"device_risk_lookup","arguments":{"product_code":"FRN"}}}'
```
List tools with `{"method":"tools/list"}`. Note the `Accept` header must include
`text/event-stream` (streamable-HTTP requirement).
## Related servers
- [Clarity MCP](https://github.com/thehealthai/clarity-mcp) — condition-aware
ingredient, product & supplement safety (verdict + evidence tier + citation).
- [MCP Queen](https://github.com/mcpqueen/mcpqueen) — the graded MCP registry
that independently probes and grades this server.
## About
Built by [Health AI](https://healthai.com), the team behind
[Constat](https://constat.dev). Informational only; verify against primary
FDA/NHTSA sources.
## License
MIT — see [LICENSE](LICENSE).
Lo que la gente pregunta sobre fda-risk-radar-mcp
¿Qué es thehealthai/fda-risk-radar-mcp?
+
thehealthai/fda-risk-radar-mcp es mcp servers para el ecosistema de Claude AI. 483 Risk Radar — FDA & NHTSA regulatory-risk MCP server for AI agents. Hosted at radar.healthai.com/api/mcp. Tiene 0 estrellas en GitHub y se actualizó por última vez today.
¿Cómo se instala fda-risk-radar-mcp?
+
Puedes instalar fda-risk-radar-mcp clonando el repositorio (https://github.com/thehealthai/fda-risk-radar-mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar thehealthai/fda-risk-radar-mcp?
+
thehealthai/fda-risk-radar-mcp aún no ha sido auditado por nuestro agente de seguridad. Revisa el repositorio original en GitHub antes de usarlo en producción.
¿Quién mantiene thehealthai/fda-risk-radar-mcp?
+
thehealthai/fda-risk-radar-mcp es mantenido por thehealthai. La última actividad registrada en GitHub es de today, con 0 issues abiertos.
¿Hay alternativas a fda-risk-radar-mcp?
+
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
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