483-risk-radarSAFE
Constat — FDA & NHTSA regulatory-risk MCP server for AI agents. 14 tools: recalls, adverse events, warning letters, 483s, 510(k) predicate chains, reimbursement, vehicle safety. com.healthai/radar on the official MCP registry. Hosted at constat.dev/api/mcp.
Overview
From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.
[](https://glama.ai/mcp/connectors/com.healthai/radar)
[](https://mcpqueen.com/s/com.healthai/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.
- Endpoint:
https://constat.dev/api/mcp(legacyhttps://radar.healthai.com/api/mcpstill serves) - Transport: Streamable HTTP (JSON-RPC 2.0)
- Auth: none for anonymous access (10 work units/min and 50/day per
anonymous source); an optional X-API-Key header enables the separately assigned metered allowance. Tool calls have documented work-unit costs.
- 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, container
815b4409efa0OBSERVED · 2026-10-11Connect
Built from this server's own package name, version and transport as found in its source — not copied from anyone's documentation, so it cannot drift against a page we do not control.
claude mcp add fda-risk-radar-mcp -- npx -y [email protected]
{
"mcpServers": {
"fda-risk-radar-mcp": {
"command": "npx",
"args": [
"-y",
"[email protected]"
]
}
}
}Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | WARN |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- declared (1 observation(s))
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (3)
streamable-http
CONSTAT_MCP_URL: `http://127.0.0.1:${address.port}`,Gates applied: no_behavioural_pass.
815b4409efa0full audit observations/trust-audit/mcp-server/thehealthai__fda-risk-radar-mcp.json · Report an issue / request a re-scanAudit history
Every audit this server has had. A grade with a past is a grade somebody is still checking.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-11 | 815b4409efa0 | SAFE | B | 89 | first audit |
Questions
What is the 483-risk-radar MCP server?
Constat — FDA & NHTSA regulatory-risk MCP server for AI agents. 14 tools: recalls, adverse events, warning letters, 483s, 510(k) predicate chains, reimbursement, vehicle safety. com.healthai/radar on the official MCP registry. Hosted at constat.dev/api/mcp.
Is 483-risk-radar safe to connect to an agent?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean server reads B.
What credentials does 483-risk-radar need?
No credential environment variables were found in its source, so it appears to need none.
How does 483-risk-radar run?
It speaks streamable-http, so it runs as a service you connect to over the network. It is published on npm as fda-risk-radar-mcp at 0.5.3.
How current is this page?
The grade is for one exact copy of the source (815b4409efa0), read on 2026-10-11. The repository is watched and re-audited when it changes.