dMoERA Creator Studio — MCP Server

Build, backtest, and deploy crypto trading strategies using any MCP-compatible AI agent (Claude, Cursor, Windsurf, Devin, Copilot, etc.).
Power your agent
URL ของผู้เผยแพร่เอง ไม่ใช่เอนด์พอยต์ของ PlugMCP
Host a copy with our keys and logs.
https://dmoera.xyz/mcpปุ่ม Claude ด้านบนจะเปิด Claude พร้อมกรอกชื่อและ URL ให้แล้ว คุณยังต้องยืนยันที่นั่นเอง
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 แบบรีโมตหรือคำสั่งบนเครื่องของคุณ? การติดตั้งสองแบบต่างกันอย่างไร
รันบน 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.
เปิดThe 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": {} } }}เครื่องมือ
ยังไม่มีรายการเครื่องมือ เซิร์ฟเวอร์แบบรีโมตจะได้รายการหลังการตรวจสอบสถานะครั้งแรก
FAQ
คัดลอกคอนฟิก http สำหรับ Cursor, Claude Desktop, Claude Code หรือ VS Code ได้ในหน้านี้ คอนฟิกนี้ใช้การติดตั้งของผู้เผยแพร่ ไม่ใช่พร็อกซีของ PlugMCP
ระเบียนนี้ไม่ได้ระบุตัวแปรสภาพแวดล้อมที่จำเป็น
DMoERA Creator เข้าถึงได้ผ่าน HTTP
ตรวจสอบล่าสุดเมื่อ 2026-11-09 Build, backtest, and deploy crypto trading strategies via MCP with 7-stage validation.