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GammaRips MCP Server

Agent-first options trading intelligence for overnight and pre-market setups.

GammaRips exposes a free hosted MCP server for querying overnight options-flow signals, enriched ticker analysis, performance tracking, and daily market intelligence reports.

Hosted MCP endpoint

  • SSE: https://gammarips-mcp-406581297632.us-central1.run.app/sse
  • JSON-RPC: https://gammarips-mcp-406581297632.us-central1.run.app/jsonrpc
  • Server card: https://gammarips-mcp-406581297632.us-central1.run.app/.well-known/mcp/server-card.json
  • Auth: none

Available tools

  • get_overnight_signals — raw overnight scanner output by date, direction, ticker, or minimum score
  • get_enriched_signals — AI-enriched high-conviction setups with technical and catalyst context
  • get_signal_detail — deep dive on one ticker’s signal
  • get_signal_performance — historical outcome tracking for prior signals
  • get_win_rate_summary — aggregate win-rate / return summary over a lookback window
  • get_daily_report — latest full daily intelligence report
  • get_report_list — list available reports
  • get_available_dates — list dates with available scan data
  • web_search — lightweight live web search for additional context

Quick connect

OpenClaw / generic MCP config

{
  "mcpServers": {
    "gammarips": {
      "url": "https://gammarips-mcp-406581297632.us-central1.run.app/sse",
      "transport": "sse"
    }
  }
}

Claude Desktop / other local-client style config

If your client supports remote SSE servers, use the hosted endpoint above. If it only supports local stdio processes, run the server locally and point your client at that wrapper process.

Local development

Prerequisites

  • Python 3.10+
  • Optional: Docker

Setup

git clone https://github.com/DevDizzle/gammarips-mcp.git
cd gammarips-mcp
python -m venv .venv
source .venv/bin/activate
pip install -e .
cp .env.example .env

Run locally

PYTHONPATH=src python src/server.py

The server binds to 0.0.0.0:${PORT:-8080} and serves MCP over SSE.

Docker

docker build -t gammarips-mcp .
docker run --rm -p 8080:8080 --env-file .env gammarips-mcp

Environment

See .env.example for the current environment variables. Typical values include:

  • GCP_PROJECT_ID
  • FIRESTORE_DATABASE
  • GCS_BUCKET_NAME
  • LOG_LEVEL
  • PORT

Validation

Python compile check

python -m compileall src

Docker build check

docker build -t gammarips-mcp:test .

Deployment

The repo includes a GitHub Actions workflow for deploying to Cloud Run on pushes to main.

License

MIT

About

AI-powered financial intelligence server built on the Model Context Protocol. Integrates GCP BigQuery and LLMs to automate high-gamma options strategies, market structure analysis, and technical reporting for actionable trading insights.

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