DevDizzle/gammarips-mcp

Overview

Anti-firehose options-flow intelligence for AI agents via Model Context Protocol. Provides a hard-curated daily candidate pool, point-in-time features, realized MFE/MAE opportunity surfaces, and outcome labels as data primitives. Does not provide advice or a pick endpoint.

Best for

Best for
Developers building options-flow agents on MCP that need curated data without advice-driven outputs.

Use cases

• Filter options candidates from a curated daily pool
• Analyze realized MFE/MAE opportunity surfaces
• Reason over point-in-time features and outcome labels

How to use

Install

pip install -e .

Tested with

Claude Code, Cursor, Cline, ChatGPT

Notes

Anti-firehose options-flow intelligence for AI agents via Model Context Protocol. Provides a hard-curated daily candidate pool, point-in-time features, realized MFE/MAE opportunity surfaces, and outcome labels as data primitives. Does not provide advice or a pick endpoint.

0 stars on GitHub. Last updated 2026-09-17. Licensed MIT.

Use cases

• Filter options candidates from a curated daily pool
• Analyze realized MFE/MAE opportunity surfaces
• Reason over point-in-time features and outcome labels

Pros

• Curated daily pool reduces signal noise
• Structured primitives designed for agent reasoning
• Explicit non-advice stance avoids overpromising

Cons

• No pick endpoint limits direct signal generation
• Zero stars indicate unproven community adoption
• Daily cadence may not suit intraday use cases

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.