dMoERA Creator

dMoERA Creator Studio — MCP Server

Build, backtest, and deploy crypto trading strategies using any MCP-compatible AI agent (Claude, Cursor, Windsurf, Devin, Copilot, etc.).

What it does

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
• Manage personal hedge funds — create funds, add your own bots, activate Manager Mode
• Monitor tournament status, Tag Team leaderboards, and Vault allocation
• Track fund positions, trades, P&L, analytics, and immutable report cards

This is a thin API client — it talks to a running dMoERA backend via HTTP. No internal dMoERA code is required.

Installation

Prerequisites

• Python 3.11+
• The mcp Python package (pip install mcp)
• A running dMoERA backend (or connect to the public instance)

Setup

git clone https://github.com/CacheCarti/dmoera-mcp.git

cd dmoera-mcp pip install -r requirements.txt

MCP Configuration

Add this standard MCP configuration to Claude Desktop, Cursor, Windsurf, or another MCP client:

{

"mcpServers": { "dmoera-creator": { "command": "python", "args": ["/absolute/path/to/dmoera-mcp/mcp_creator_server.py"], "env": { "DMOERA_API_URL": "https://dmoera.xyz", "DMOERA_API_KEY": "your_optional_personal_access_token" } } } }

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:

https://dmoera.xyz/mcp

Tools (44 total)

Discovery & Market Data

Strategy Development

Marketplace & Tournaments

Fund Management (personal funds — own bots only)

Personal funds can only contain the authenticated user's own bots. Use list_my_bots to see eligible strategies.

Tag Team (daily paper trading competition)

Vault (regime-aware allocation)

Resources

• creator-api://docs — Full strategy contract documentation
• creator-api://strategy-template — Copy-pasteable strategy template

Example Usage

Ask your AI agent:

"List all trading domains on dMoERA, then backtest a simple RSI mean-reversion strategy for ETH/USDC."

The agent will call list_domains, inspect the available markets, then call sandbox_backtest with strategy code it generates. You can iterate:

"The Sharpe is too low. Try adding a volatility filter — only trade when ATR is above its 20-period average."

"Submit this strategy to the ETH/USDC domain."

The agent calls submit_strategy, which runs the full 7-stage validation pipeline. If it passes, the strategy enters the live Arena and competes for tournament payouts.

Hedge Fund Management

"Create a personal hedge fund called 'Alpha Seeker' with a standard risk preset. Then list my eligible bots."

The agent calls create_fund, then list_my_bots to show which of your strategies can be added to the roster.

"Add my momentum ETH bot with 30% weight and my scalper BTC bot with 20% weight, then activate the fund."

The agent calls add_bot_to_fund twice, update_fund_weights, then activate_fund to start the personal router.

"How's the fund doing? Show me the analytics and latest report card."

The agent calls get_fund_analytics and [get_fund_report_card](cci:1://file:///c:/Users/yoges/dmoen-core/mcp_creato