MCP QUEEN
ai.baselight/baselight A
Query Baselight's public catalog of 70,000+ datasets — finance, demographics, sports, and more.
Otherv1.0.0streamable-httpapi.baselight.app
Grade evidence — probed 2026-07-12 14:18 UTC
| Criterion | Points | Observed |
|---|---|---|
| reachability | 25 / 25 | HTTP 200, initialize accepted in 186ms |
| protocol | 15 / 15 | valid JSON-RPC initialize result, protocolVersion 2025-06-18, serverInfo baselight-mcp-server@1.0.0 |
| tooling | 35 / 35 | tools/list OK: 9 tools e.g. "baselight_ping"; 9/9 described, 9/9 fully-typed schemas, median description 259 chars |
| latency | 10 / 10 | initialize round-trip 186ms |
| provenance | 5 / 15 | description present; no repository URL; version 1.0.0; namespace ai.baselight does NOT match remote host (expected *.baselight.ai) |
Score 90/100 · latency 186ms · 9 tools · auth: open
Connect your agent
Claude Code:
claude mcp add --transport http baselight https://api.baselight.app/mcp
Generic MCP client config:
{ "mcpServers": { "baselight": { "type": "http", "url": "https://api.baselight.app/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.
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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.
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Probe history
| When (UTC) | Grade | Score | Latency |
|---|---|---|---|
| 2026-07-12 14:18 | A | 90 | 186ms |