The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Fda Risk Radar MCP listing page.
The MCP server behind Constat — 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.
https://constat.dev/api/mcp (legacy https://radar.healthai.com/api/mcp still serves)X-API-Key header enables the separately
assigned metered allowance. Tool calls have documented work-unit costs.com.healthai/radar (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:
| 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 |
List tools with {"method":"tools/list"}. Note the Accept header must include
text/event-stream (streamable-HTTP requirement).
Each of the 14 tools declares an output schema. Tool calls return structured
content with an explicit ok, not_found, invalid_request, or unavailable
status while preserving a text result for older clients.
The tools are observational and non-destructive, but advertise
readOnlyHint: false because calls write bounded quota and operational-
telemetry state. They do not publish or modify FDA, CMS, NHTSA, or other
third-party records.
See the integration guide, architecture and trust boundaries, privacy notice, and support page.
Built by Health AI, the team behind Constat. Informational only; verify against primary FDA/NHTSA sources.
MIT — see LICENSE.