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horustechltd/horus-flow-mcp

by Various

Official MCP server for Horus Flow Intelligence: Institutional-grade market microstructure and orderflow physics for AI trading agents.

H

MCP

horustechltd/horus-flow-mcp

Added 1 June 2026

#ai-agent #algorithmic-trading #binance #claude #crypto #cursor #equities #fastapi

Overview

An MCP server that exposes institutional-grade market microstructure and orderflow physics data for AI trading agents. Built in Python, it connects AI agents to Horus Flow Intelligence for real-time orderflow analysis.

Best for

Best for
Developers building AI trading agents that need real-time orderflow and market microstructure data

Use cases

  • Feed orderflow data into AI trading agents for microstructure analysis
  • Integrate market physics signals into automated trading strategies
  • Build MCP-compatible tools that consume institutional market data

Notes

An MCP server that exposes institutional-grade market microstructure and orderflow physics data for AI trading agents. Built in Python, it connects AI agents to Horus Flow Intelligence for real-time orderflow analysis.

1 stars on GitHub. Last updated 2026-05-16. Licensed MIT.

Use cases

  • Feed orderflow data into AI trading agents for microstructure analysis
  • Integrate market physics signals into automated trading strategies
  • Build MCP-compatible tools that consume institutional market data

Pros

  • Provides access to institutional-grade market microstructure data
  • Python-based, easy to integrate into existing AI agent pipelines
  • Open source with MCP protocol for standardized agent communication

Cons

  • Very early stage with only 1 GitHub star, limited community adoption
  • Documentation and stability may be minimal due to newness
  • Requires understanding of orderflow physics and MCP protocol

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Provides access to institutional-grade market microstructure data
  • Python-based, easy to integrate into existing AI agent pipelines
  • Open source with MCP protocol for standardized agent communication

Cons

  • Very early stage with only 1 GitHub star, limited community adoption
  • Documentation and stability may be minimal due to newness
  • Requires understanding of orderflow physics and MCP protocol
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