MCP QUEEN
io.github.XianDAO-Labs/huangting-flux A
Reduces AI Agent token usage by 40% via three-stage SOP workflow.
Dev & Codev5.1.0streamable-httpmcp.huangting.ai repository
Grade evidence — probed 2026-07-13 20:33 UTC
| Criterion | Points | Observed |
|---|---|---|
| reachability | 25 / 25 | HTTP 200, initialize accepted in 961ms |
| protocol | 15 / 15 | valid JSON-RPC initialize result, protocolVersion 2024-11-05, serverInfo huangting-flux@5.1.0 |
| tooling | 35 / 35 | tools/list OK: 4 tools e.g. "start_task"; 4/4 described, 4/4 fully-typed schemas, median description 530 chars |
| latency | 7 / 10 | initialize round-trip 961ms |
| provenance | 15 / 15 | description present; repository linked; version 5.1.0; namespace io.github.XianDAO-Labs matches endpoint/repo |
Score 97/100 · latency 961ms · 4 tools · auth: open
Connect your agent
Claude Code:
claude mcp add --transport http huangting-flux https://mcp.huangting.ai/mcp
Generic MCP client config:
{ "mcpServers": { "huangting-flux": { "type": "http", "url": "https://mcp.huangting.ai/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/io.github.XianDAO-Labs/huangting-flux · referral link https://mcpqueen.com/go/io.github.XianDAO-Labs/huangting-flux (counts as “routed via the queen”).
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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 |
|---|---|---|---|
| 2026-07-13 20:33 | A | 97 | 961ms |