W-2 event staffing data for AI agents: 345 US/CA markets, roles, rates, lead times, compliance.
AI & Agentsv1.4.0streamable-httpmcp.tempguru.co repository
| Criterion | Points | Observed |
|---|---|---|
| reachability | 25 / 25 | HTTP 200, initialize accepted in 427ms |
| protocol | 15 / 15 | valid JSON-RPC initialize result, protocolVersion 2025-06-18, serverInfo tempguru-mcp@1.4.0 |
| tooling | 35 / 35 | tools/list OK: 8 tools e.g. "plan_staffing"; 8/8 described, 8/8 fully-typed schemas, median description 812 chars |
| latency | 10 / 10 | initialize round-trip 427ms |
| provenance | 15 / 15 | description present; repository linked; version 1.4.0; namespace co.tempguru matches endpoint/repo |
Score 100/100 · latency 427ms · 8 tools · auth: open
Claude Code:
claude mcp add --transport http event-staffing https://mcp.tempguru.co/mcp
Generic MCP client config:
{ "mcpServers": { "event-staffing": { "type": "http", "url": "https://mcp.tempguru.co/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/co.tempguru/event-staffing · referral link https://mcpqueen.com/go/co.tempguru/event-staffing (counts as “routed via the queen”).
Live badge, re-probed continuously — put it in your README:
[](https://mcpqueen.com/s/co.tempguru/event-staffing)
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 21:30 | A | 100 | 427ms |