
Horus Flow Mcp
io.github.horustechltdPublished by GitHub account horustechltdv1.0.2Updated Oct 24, 2026
Institutional crypto & equity orderflow intelligence for AI trading agents.
The publisher's own server: Horus Flow Mcp
Overview
Gives AI trading agents institutional crypto and equity orderflow intelligence, including a cognitive market verdict with trust scores and execution boundaries.
- What you can do
- Horus Flow MCP exposes tools that return market microstructure and intelligence data for crypto and US equities. Tools include get_horus_cortex for a consensus verdict with trust score, contradiction flags, execution boundaries and bot action multipliers, plus get_crypto_flow, get_equity_flow, scan_crypto_flow, get_liquidation_heatmap, get_cross_exchange_flow, get_composite_intelligence and get_full_market_intelligence. Outputs are intended to feed autonomous trading agents with regime state, orderflow metrics and risk directives.
- When to use it
- Use it when building or running AI trading agents that need orderflow, liquidation, cross-exchange and macro regime signals rather than lagging indicators. It suits quantitative workflows where an agent must decide position sizing or whether to stand aside.
- Requirements
- Runs locally as a Python stdio process (PyPI package horus-flow-mcp). Requires a RapidAPI key supplied via the RAPIDAPI_KEY environment variable, and network access to the Horus Flow service. Paid subscription tiers gate Level 3 and Level 4 intelligence and higher API quotas.
Installation
In SourceWeft
- Open Horus Flow Mcp in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
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
Source: README.md at commit 12ac376
Tools
0Version history
1- v1.0.2LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts