Free IPv4 lookups against a distributed attacker-observation corpus.
Otherv0.5.0streamable-httpmcp.tunnelmind.ai repository
| Criterion | Points | Observed |
|---|---|---|
| reachability | 25 / 25 | HTTP 200, initialize accepted in 498ms |
| protocol | 15 / 15 | valid JSON-RPC initialize result, protocolVersion 2025-03-26, serverInfo scry@0.5.0 |
| tooling | 35 / 35 | tools/list OK: 12 tools e.g. "scry_stats"; 12/12 described, 12/12 fully-typed schemas, median description 127 chars |
| latency | 10 / 10 | initialize round-trip 498ms |
| provenance | 15 / 15 | description present; repository linked; version 0.5.0; namespace ai.tunnelmind matches endpoint/repo |
Score 100/100 · latency 498ms · 12 tools · auth: open
Claude Code:
claude mcp add --transport http scry https://mcp.tunnelmind.ai/mcp
Generic MCP client config:
{ "mcpServers": { "scry": { "type": "http", "url": "https://mcp.tunnelmind.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/ai.tunnelmind/scry · referral link https://mcpqueen.com/go/ai.tunnelmind/scry (counts as “routed via the queen”).
Live badge, re-probed continuously — put it in your README:
[](https://mcpqueen.com/s/ai.tunnelmind/scry)
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 18:16 | A | 100 | 498ms |