
Horus Flow Mcp
io.github.horustechltd由 GitHub 帳號 horustechltd 發布v1.0.2更新於 Oct 24, 2026
Institutional crypto & equity orderflow intelligence for AI trading agents.
發布方自己的服務:Horus Flow Mcp
概覽
為 AI 交易代理提供機構級加密貨幣與股票訂單流情報,包括帶信任評分與執行邊界的市場認知判斷。
- 可以做什麼
- Horus Flow MCP 提供回傳加密貨幣與美股市場微觀結構和情報資料的工具。工具包括 get_horus_cortex(回傳含信任評分、矛盾標記、執行邊界與機器人操作乘數的共識判斷),以及 get_crypto_flow、get_equity_flow、scan_crypto_flow、get_liquidation_heatmap、get_cross_exchange_flow、get_composite_intelligence 與 get_full_market_intelligence。輸出用於為自主交易代理提供市場狀態、訂單流指標與風險指令。
- 適用情境
- 適用於建置或執行需要訂單流、清算、跨交易所與宏觀狀態訊號而非落後指標的 AI 交易代理。適合由代理決定部位規模或是否觀望的量化工作流程。
- 執行需求
- 以本機 Python stdio 程序執行(PyPI 套件 horus-flow-mcp)。需透過 RAPIDAPI_KEY 環境變數提供 RapidAPI 金鑰,並需要連線至 Horus Flow 服務的網路。付費訂閱等級決定第 3、4 級情報與更高 API 配額。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Horus Flow Mcp,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
🦅 HORUS CORTEX & FLOW
The Cognitive Market Brain for Autonomous AI Trading Agents
[Glama Verified] [Glama Score] [AI Agents Listing Verified]
[FastMCP] [Status] [Python] [License]
Don't let your AI trading agents trade on lagging candlestick echoes. Give them the whale's eyes and an institutional cognitive mind.
🤖 The Zero-Human Decision Loop in Action
When you connect Claude Desktop, Cursor, or an autonomous LangChain / AutoGen agent to Horus Cortex, your agent stops hallucinating and begins executing with Wall Street risk rigor:
🛑 Stop Predicting Candles. Start Measuring Gravity.
Retail traders rely on lagging indicators (RSI, MACD, Moving Averages) which calculate what has already happened.
Horus is predictive, not reactive:
- Level 1-2 Physics (The Eye): Measures sub-second limit orderbook depth, spoofed liquidity walls, and aggressive taker execution delta before candlesticks print.
- Level 3 Forensics (The Radar): Tracks Liquidation Cascades (Gravity Direction) and Spot vs. Futures Speculation Ratios.
- Level 4 Cortex (The Mind): Synthesizes 7 independent evidence families with a real-time Contradiction Engine to output machine-executable position sizing multipliers and USD invalidation boundaries.
🏗️ Architecture
📡 Complete API Catalog
Level 1-2: Orderflow Microstructure
Level 3: Forensic Market Intelligence
Every Level 3 document carries a method field with its exact formula. Endpoints return 503 data_stale instead of serving data older than their freshness limit.
Level 4: The Sovereign Cognitive Cortex
Agent Layer
Every directional flow reading carries a reliability block with its measured hit rate. Add ?view=compact to /v1/flow/crypto/{symbol} for a token-light answer.
🤖 Connect Your AI Agent
Remote MCP server (recommended)
https://flow.horustek.pro/mcp (Streamable HTTP).
- RapidAPI subscribers: send your RapidAPI key as
X-RapidAPI-Key: <key>. Calls go through RapidAPI, so your RapidAPI plan and quota apply. Subscribe on RapidAPI. - Horus keys:
X-API-Key: <key>orAuthorization: Bearer <key>. - No key: free tier: order flow for any pair, the public track record, US session context, the first 3 scanner results and service status.
Claude Code:
Any MCP client that supports remote servers:
Tools (all read-only, compact JSON with an output schema)
Readings are context with a measured track record, not trade instructions. Many signals score close to a coin flip; the reliability field says so.
Local stdio server (PyPI)
pip install horus-flow-mcp and set RAPIDAPI_KEY to use the RapidAPI listing from a local MCP client.
Webhook signatures
⚡ 60-Second Quant Bot Quickstart (Python)
💎 Plans
Live status and uptime: flow.horustek.pro/status.html
🌐 Live Real-Time Dashboard
Explore the live institutional orderflow visualizer at flow.horustek.pro/dash/.
Engineered with mathematical rigor for Autonomous AI Agents and Quantitative Traders.
© 2026 Horus Tech Ltd. 🦅
mcp-name: pro.horustek/horus-flow-mcp
來源:README.md,提交 12ac376
工具
0版本歷史
1- v1.0.2最新Sep 16, 2026
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