Anti-firehose options-flow data for AI agents: curated daily pool, features, realized outcomes.
Dev & Codev3.0.0streamable-httpgammarips-mcp-406581297632.us-central1.run.app repository
| Criterion | Points | Observed |
|---|---|---|
| reachability | 25 / 25 | HTTP 200, initialize accepted in 310ms |
| protocol | 15 / 15 | valid JSON-RPC initialize result, protocolVersion 2025-06-18, serverInfo gammarips@1.28.1 |
| tooling | 35 / 35 | tools/list OK: 29 tools e.g. "get_overnight_signals"; 29/29 described, 29/29 fully-typed schemas, median description 939 chars |
| latency | 10 / 10 | initialize round-trip 310ms |
| provenance | 15 / 15 | description present; repository linked; version 3.0.0; namespace io.github.DevDizzle matches endpoint/repo |
Score 100/100 · latency 310ms · 29 tools · auth: open
Claude Code:
claude mcp add --transport http gammarips https://gammarips-mcp-406581297632.us-central1.run.app/mcp
Generic MCP client config:
{ "mcpServers": { "gammarips": { "type": "http", "url": "https://gammarips-mcp-406581297632.us-central1.run.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.
Share this server: permalink https://mcpqueen.com/s/io.github.DevDizzle/gammarips · referral link https://mcpqueen.com/go/io.github.DevDizzle/gammarips (counts as “routed via the queen”).
Live badge, re-probed continuously — put it in your README:
[](https://mcpqueen.com/s/io.github.DevDizzle/gammarips)
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 |
|---|---|---|---|
| 2026-07-13 15:16 | A | 100 | 310ms |