An MCP server that exposes real-time crypto and equities orderflow intelligence from Binance and Alpaca websockets, including imbalance, tape delta, spoofing, and liquidity-event signals. It serves this analysis to AI agents, an API, and a dashboard for low-latency trading decisions.
From the registry: Institutional crypto & equity orderflow intelligence for AI trading agents.
Please install the `horus-flow-mcp` MCP server into my current AI client (that's you).
Optional prerequisites:
- Install Python 3.12+ — Python 3.12 or newer is required. (https://github.com/horustechltd/horus-flow-mcp},{)
Canonical MCP server config (HTTP transport):
- url: `http://127.0.0.1:8011`
Note: README quickstart runs the server locally via SSE using `python horus_mcp_public.py --transport sse --port 8011`. The README also instructs installing `mcp` and `httpx` via pip and setting `RAPIDAPI_KEY` before launch. No packaged `npx`/PyPI shortcut is provided, so the documented local Python run is the usable install path.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.RAPIDAPI_KEYrequiredAPI key used by the server to fetch live data.Meta Ads MCP (Facebook + Instagram) - analyze performance, manage budgets, pause campaigns.