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Institutional crypto & equity orderflow intelligence for AI trading agents.
Institutional crypto & equity orderflow intelligence for AI trading agents.
Valid MCP server (2 strong, 4 medium validity signals). 6 known CVEs in dependencies (0 critical, 3 high severity) Package registry verified. Imported from the Official MCP Registry.
4 files analyzed Β· 7 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: RAPIDAPI_KEY
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-horustechltd-horus-flow-mcp": {
"env": {
"RAPIDAPI_KEY": "your-rapidapi-key-here"
},
"args": [
"horus-flow-mcp"
],
"command": "uvx"
}
}
}From the project's GitHub README.
In the world of autonomous trading, an AI Agent without real-time orderflow is like a pilot flying blind. Technical indicators (RSI, MACD) are lagging echoes of the past. Horus is the Nervous System that provides:
"If you want your AI Agent to trade like a whale, you must give it the whale's eyes. Horus is that vision."
Horus Flow MCP has been rigorously audited by Manus AI (an autonomous execution agent). The results confirm that Horus isn't just codeβit's a high-performance reality.
bid_ask_ratio of 0.156, proving the engine's ability to read thin limit books and aggressive selling.| Metric | Audit Result | Status |
|---|---|---|
| Response Time | Sub-millisecond (Local) | β Verified |
| Data Integrity | L2 Binance Orderbook Sync | β Verified |
| AI Confidence | 0.85+ on High-Vol Events | β Verified |
Why pay thousands for institutional terminals when you can get the same Microstructure Intelligence for a fraction of the cost?
| Feature | Horus Flow MCP | Traditional Terminals |
|---|---|---|
| Monthly Cost | $29 (Pro Plan) | $150 - $2,000+ |
| AI Integration | Native MCP (Plug & Play) | Complex API / Manual |
| Data Source | Institutional L2 Feeds | Proprietary / Closed |
| Decision Logic | Physics-Based (Gravity) | Lagging Indicators |
Retail traders use trailing indicators to guess what the market will do based on the past. Horus uses Level 2 Orderbook physics, Tick imbalances, and 5-Second Flow Deltas to measure exactly what institutional whales are doing right now.
Horus doesn't ask "Are we overbought?". It measures gravitational pull and tells you: "Whales are spoofing the bid and aggressive takers are tearing through the ask. Liquidity is collapsing. Bailout now."
If you hook up an AI Agent to a basic technical indicator feed, it gets confused by noise. If you feed an AI Agent Horus, it gets an institutional grade decision matrix.
Look at what Horus catches in real-time during a Liquidity Withdrawal / Flash Crash attempt:
{
"symbol": "BTCUSDT",
"signal": "LIQUIDITY_EVENT",
"confidence": 0.99,
"market_state": "DISTRIBUTION",
"risk": "EXTREME",
"description": "Liquidity withdrawn under price. Aggressive taking.",
"metrics": {
"bid_ask_ratio": 7.934,
"buy_sell_ratio": 0.393,
"delta_5s": -83040.05,
"whale_activity": true,
"large_sell_count": 4,
"delta_accel": 3.8,
"wall_side": "BID",
"wiseman_climate": {
"market_mode": "CHOP",
"health": "FRAGILE",
"confidence": 0.85
},
"flags": [
"GLOBAL_LIQUIDITY_EVENT",
"SPOOFING_DETECTED(wall=BID)"
]
},
"timestamp": 1776107738.975
}
bid_ask_ratio: 7.934 & wall_side: BID: Massive spoofed bid walls are placed by whales below the market to create fake support.buy_sell_ratio: 0.393: Horus sees through the spoofing (SPOOFING_DETECTED flag). It measures real taker flow and discovers aggressive selling is devastating the orderbook.delta_accel: 3.8 & whale_activity: true: Selling momentum accelerated by 3.8x natively tracking 4 major whale dumps within milliseconds.wiseman_climate: FRAGILE: Integrates perfectly with the overarching Horus SaaS macro brain, verifying that Bitcoin's holistic environment is fragile before attacking.0.99 Confidence factor, the AI engine triggers LIQUIDITY_EVENT. It front-runs the ensuing 1-minute crash. This is Institutional Grade.graph TD
%% Styling
classDef crypto_stream fill:#F3BA2F,stroke:#000,color:#000,stroke-width:2px;
classDef equity_stream fill:#000,stroke:#09b533,color:#09b533,stroke-width:2px;
classDef compute fill:#1A1F36,stroke:#00D6FF,color:#fff,stroke-width:2px;
classDef mcp fill:#632CA6,stroke:#fff,color:#fff,stroke-width:2px;
classDef client fill:#FF3366,stroke:#fff,color:#fff,stroke-width:2px;
%% Ingestion
subgraph Data_Pipelines [Sub-Millisecond Websocket Ingestion]
B[Binance WSS <br/> L1/L2 Book]:::crypto_stream
A[Alpaca WSS <br/> SIP Equities]:::equity_stream
end
%% Engine
subgraph Core_Engine [The Physics Engine]
IC[Imbalance Calculator <br/> Bid/Ask Spread]:::compute
FC[Flow Calculator <br/> Tape Deltas]:::compute
Tkr[Prediction Tracker <br/> In-Memory Evaluator]:::compute
BC[Behavioral Court <br/> Spoofing & Liquidity Rules]:::compute
end
%% Output
subgraph Output_Layer [Data Shield & Delivery]
MCP[AI Agent MCP Context <br/> Context-Aware Prompts]:::mcp
API[FastAPI Client <br/> Safe Shielded Outputs]:::client
Dash[Real-time Dashboard <br/> Live Edge Proof]:::client
end
B --> IC
A --> IC
B --> FC
A --> FC
IC --> BC
FC --> BC
BC --> Tkr
Tkr -- "Validates 1M accuracy" --> BC
BC --> MCP
BC --> API
BC --> Dash
Getting started with Horus takes less than 60 seconds. β‘ Test Instantly: Download our Postman Collection to ping the API directly from your browser.
# Install Dependencies
pip install mcp httpx
# Set your RapidAPI Key (Required for the server to fetch live data)
export RAPIDAPI_KEY="your_actual_rapidapi_key"
# Run the SSE Server
python horus_mcp_public.py --transport sse --port 8011
import requests
# Connecting to your local Horus instance
response = requests.get("[http://127.0.0.1:8011/v1/flow/crypto/BTCUSDT](http://127.0.0.1:8011/v1/flow/crypto/BTCUSDT)")
flow_data = response.json()
# The Zero-Human Decision Loop:
if flow_data.get('signal') in ['EMERGENCY_DUMP', 'BAILOUT', 'LIQUIDITY_EVENT']:
print(f"β οΈ {flow_data['symbol']} Market gravity collapsing. Executing Bailout.")
# execute_market_sell()
Horus comes with a stunning glass-morphism WebSocket dashboard out-of-the-box (/dash/).
It features a Local Edge Proof Tracker that strictly measures 1-Minute Candle directional predictions generated by the Physics Engine with an openly transparent win rate.
Built with absolute precision for those who need to see the Matrix. β HORUS INTELLIGENCE ποΈ mcp-name: io.github.horustechltd/horus-flow-mcp
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