dMoERA Creator Studio — MCP Server

Build, backtest, and deploy crypto trading strategies using any MCP-compatible AI agent (Claude, Cursor, Windsurf, Devin, Copilot, etc.).
Potencialize seu agente
A URL do próprio publicador. Não é um endpoint do PlugMCP.
Host a copy with our keys and logs.
https://dmoera.xyz/mcpO botão do Claude acima abre o Claude com o nome e a URL preenchidos. Você ainda precisa confirmar lá.
claude mcp add --transport http io.github.cachecarti-dmoera-creator https://dmoera.xyz/mcpRun in a terminal.
{ "mcpServers": { "io.github.cachecarti-dmoera-creator": { "command": "npx", "args": [ "-y", "mcp-remote", "https://dmoera.xyz/mcp" ] } }}claude_desktop_config.json
URL remota ou um comando na sua máquina? Como as duas instalações diferem
Rodar no PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
AbrirThe dMoERA MCP server exposes the dMoERA Creator API as Model Context Protocol tools. Your AI agent can:
This is a thin API client — it talks to a running dMoERA backend via HTTP. No internal dMoERA code is required.
mcp Python package (pip install mcp)git clone https://github.com/CacheCarti/dmoera-mcp.git
cd dmoera-mcp
pip install -r requirements.txt
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
Personal funds can only contain the authenticated user's own bots. Use list_my_bots to see eligible strategies.
creator-api://docs — Full strategy contract documentationcreator-api://strategy-template — Copy-pasteable strategy templateAsk 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.
"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.
Strategies subclass Strategy and implement on_bar(self, ctx) -> Signal. See the creator-api://docs resource for the full contract.
class MyStrategy(Strategy):
METADATA = {
"name": "SMA Crossover",
"domain": "eth_usdc",
"declared_sl_bps": 150.0,
"declared_tp_bps": 300.0,
"declared_hold_seconds": 3600,
"warmup_bars": 20,
"required_features": [],
}
def on_bar(self, ctx):
closes = ctx.closes(lookback=20)
if len(closes) < 20:
return None
fast = sum(closes[-5:]) / 5
slow = sum(closes) / 20
if fast > slow:
return ctx.signal(
direction=SignalDirection.LONG,
confidence=0.7,
stop_loss_bps=150.0,
take_profit_bps=300.0,
horizon_seconds=3600,
)
return None
Personal hedge funds (Manager Mode) let you build a portfolio of your own bots:
The personal router replaces the main platform router while Manager Mode is active, giving you full control over which bots trade and how much capital they get. Personal funds can never contain another user's bots.
Tag Team is a standalone daily paper-trading competition, separate from the main router and tournaments:
Tiers: Rookie (0) → Apprentice (10) → Trader (50) → Veteran (150) → Expert (500) → Master (1000+), based on total trades across all sessions.
Bots compete in 3-day tournament rounds. Scoring is based on the bot's own performance:
Top 3 per domain win USDT from the reward pool. No user following needed to qualify — your bot competes on its own metrics.
MIT
Build, backtest, and deploy crypto trading strategies via MCP with 7-stage validation.
{ "mcpServers": { "io.github.cachecarti-dmoera-creator": { "url": "https://dmoera.xyz/mcp", "headers": {} } }}Ferramentas
Ainda não há lista de ferramentas. Servidores remotos recebem uma após a primeira verificação de saúde.
Perguntas frequentes
Copie nesta página a configuração http para Cursor, Claude Desktop, Claude Code ou VS Code. Ela usa a instalação do publicador, não um proxy do PlugMCP.
Este registro não lista nenhuma variável de ambiente obrigatória.
DMoERA Creator é acessado por HTTP.
Última verificação: 2026-11-09. Build, backtest, and deploy crypto trading strategies via MCP with 7-stage validation.