horustechltd/horus-flow-mcp

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.