dMoERA Creator Studio MCP Server: build, backtest, and deploy crypto trading strategies via AI agents
Build, backtest, and deploy crypto trading strategies using any MCP-compatible AI agent (Claude, Cursor, Windsurf, Devin, Copilot, etc.).
The dMoERA MCP server exposes the dMoERA Creator API as Model Context Protocol tools. Your AI agent can:
- Discover trading domains, data feeds, and market regimes - Inspect existing bots and their live performance metrics - Backtest strategy code in a sandboxed environment - Submit strategies for full 7-stage validation and live deployment - Monitor tournament status, leaderboard rankings, and strategy report cards
This is a thin API client — it talks to a running dMoERA backend via HTTP. No internal dMoERA code is required.
- Python 3.11+ - The mcp Python package (pip install mcp) - A running dMoERA backend (or connect to the public instance)
Add this standard MCP configuration to Claude Desktop, Cursor, Windsurf, or another MCP client:
The API key is optional for public market data and discovery tools. Create a Personal Access Token at dmoera.xyz under Settings → API Keys to backtest, submit, fork, open-source, or delist strategies. Never commit your token.
Remote clients can connect through the Streamable HTTP endpoint:
Tool Description Auth Required ---------------------------------- listdomains List all available trading domains (ETH, BTC, SOL — spot and scalp) No listbots List trading bots ranked by performance, optionally filtered by domain No getbotprofile Get detailed profile and performance stats for a specific bot No getfeaturecatalog List all data feeds available to strategies via ctx.features No getmarketregime Get c
From the project README.
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