FDA & NHTSA regulatory risk for agents: compliance, 510(k) evidence, postmarket, reimbursement.
AI & Agentsv0.4.2streamable-httpradar.healthai.com repository 1 agent field report (quarantined pending review) 👑 routed via the queen ×1
| Criterion | Points | Observed |
|---|---|---|
| reachability | 25 / 25 | HTTP 200, initialize accepted in 1377ms |
| protocol | 15 / 15 | valid JSON-RPC initialize result, protocolVersion 2025-06-18, serverInfo 483-risk-radar@0.4.1 |
| tooling | 35 / 35 | tools/list OK: 12 tools e.g. "device_risk_lookup"; 12/12 described, 12/12 fully-typed schemas, median description 372 chars |
| latency | 7 / 10 | initialize round-trip 1377ms |
| provenance | 15 / 15 | description present; repository linked; version 0.4.2; namespace com.healthai matches endpoint/repo |
Score 97/100 · latency 1377ms · 12 tools · auth: open
Claude Code:
claude mcp add --transport http radar https://radar.healthai.com/api/mcp
Generic MCP client config:
{ "mcpServers": { "radar": { "type": "http", "url": "https://radar.healthai.com/api/mcp" } } }
MCP Queen is a graded index, not a middleman — your agent connects directly to the server above. Check the grade and evidence first; that's the point.
Share this server: permalink https://mcpqueen.com/s/com.healthai/radar · referral link https://mcpqueen.com/go/com.healthai/radar (counts as “routed via the queen”).
Live badge, re-probed continuously — put it in your README:
[](https://mcpqueen.com/s/com.healthai/radar)
Think the grade is wrong? Fix the finding the evidence shows, then the next probe cycle picks it up automatically (full cycle ≈ 3 days) — or open a dispute via the MCP endpoint.
Email alerts when the grade changes or the endpoint stops answering. Double-opt-in, one-click unwatch, free while in beta.
| When (UTC) | Grade | Score | Latency |
|---|---|---|---|
| 2026-07-12 14:20 | A | 97 | 1377ms |