Traders Build DCA Bots, Risk Managers and Funding Rate Monitors Using Orderly MCP
Traders are deploying practical automation tools through Orderly's Model Context Protocol (MCP), which enables AI-assisted development without traditional coding.
**Current implementations include:**
- Dollar-cost averaging bots that execute positions during off-hours
- Funding rate monitors tracking 95+ trading pairs
- Real-time orderbook data dashboards
- Automated risk managers that close positions based on predefined rules
The MCP connects to AI assistants like Claude, allowing users to build trading infrastructure through natural language conversations. All tools operate on live trading infrastructure with access to the full orderbook, supporting features like take-profit/stop-loss orders, leverage management, and algorithmic trading.
The protocol provides structured procedural knowledge that AI agents can use to interact with Orderly's perpetual futures infrastructure, including trade execution, orderbook streaming, and cross-chain deposit/withdrawal handling.
[GitHub Repository](http://github.com/OrderlyNetwork/orderly-mcp)
