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.
- 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
get_overnight_signals— raw overnight scanner output by date, direction, ticker, or minimum scoreget_enriched_signals— AI-enriched high-conviction setups with technical and catalyst contextget_signal_detail— deep dive on one ticker’s signalget_signal_performance— historical outcome tracking for prior signalsget_win_rate_summary— aggregate win-rate / return summary over a lookback windowget_daily_report— latest full daily intelligence reportget_report_list— list available reportsget_available_dates— list dates with available scan dataweb_search— lightweight live web search for additional context
{
"mcpServers": {
"gammarips": {
"url": "https://gammarips-mcp-406581297632.us-central1.run.app/sse",
"transport": "sse"
}
}
}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.
- Python 3.10+
- Optional: Docker
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 .envPYTHONPATH=src python src/server.pyThe server binds to 0.0.0.0:${PORT:-8080} and serves MCP over SSE.
docker build -t gammarips-mcp .
docker run --rm -p 8080:8080 --env-file .env gammarips-mcpSee .env.example for the current environment variables. Typical values include:
GCP_PROJECT_IDFIRESTORE_DATABASEGCS_BUCKET_NAMELOG_LEVELPORT
python -m compileall srcdocker build -t gammarips-mcp:test .The repo includes a GitHub Actions workflow for deploying to Cloud Run on pushes to main.
MIT