paper-broker
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@paper-brokerRun the open relative volume screener and show the top 10 results"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Paper broker (backend)
Warehouse US + screener HTTP/MCP + UI del screener. Sin paper trading.
Docs: docs/README.md
cd paper-broker
python3 -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"
cp .env.example .env
pytest
python -m paper_brokerFrontend (producción: mismo HTTP que la API):
cd web && npm install && npm run build
python -m paper_broker # sirve web/dist en :8080
# o: cd web && npm run dev # :5173HTTP + UI:
http://127.0.0.1:8080MCP:
http://127.0.0.1:8081/mcpHTTP:
http://127.0.0.1:8080MCP:
http://127.0.0.1:8081/mcp
curl -s http://127.0.0.1:8080/health
curl -s -X POST http://127.0.0.1:8080/v1/admin/daily?wait=true\&phase=eod \
-H "Authorization: Bearer changeme"
curl -s -X POST http://127.0.0.1:8080/v1/screener \
-H "Content-Type: application/json" \
-d '{"preset":"open_relvol"}'INGEST_MAX_TICKERS=0 (todo el universo US filtrado). El job recorre por market cap (o dollar volume si aún no hay shares). Catch-up desde el último success. Re-run el mismo día solo completa huecos.
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If you are the server author, to access and configure the admin panel.
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