MCP 服务器

Constat — 483 Risk Radar

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.

README

Constat — 483 Risk Radar (MCP server)

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.

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, request one at POST https://mcp.healthai.com/register)
Registry: 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:

node server.mjs            # stdio MCP server, bridges to constat.dev/api/mcp

// e.g. in an MCP client config
{ "mcpServers": { "constat": { "command": "node", "args": ["/path/to/server.mjs"] } } }

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

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 — condition-aware ingredient, product & supplement safety (verdict + evidence tier + citation).
MCP Queen — the graded MCP registry that independently probes and grades this server.