dMoERA Creator

安装

选择你使用的 AI 应用，然后复制设置。

通过 5/5 项检查 · 你的提问会经过开发者的服务器（dmoera.xyz） · ✓ 命令已检查 2026年11月13日

claude mcp add --transport http --scope user dmoera-creator https://dmoera.xyz/mcp

{
  "mcpServers": {
    "dmoera-creator": {
      "url": "https://dmoera.xyz/mcp"
    }
  }
}

{
  "servers": {
    "dmoera-creator": {
      "type": "http",
      "url": "https://dmoera.xyz/mcp"
    }
  }
}

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档，检查于 2026年11月10日。

通过互联网连接，适用于

ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

全部应用及其优缺点 →

它能做什么

工具名称和描述与服务器在 2026年11月14日 报告的完全一致。这些内容由作者撰写，不是我们写的；我们以纯文本形式显示。

• list_domains

  List all available trading domains on dMoERA. Domains define what asset pair a strategy trades, what time horizon it uses (scalp=5m, swing=1h, crisis=2m), and what data is available. Strategies must declare which domain they belong to. Returns a JSON array of domain objects with:

• list_bots

  List trading bots ranked by performance. Args: domain: Filter by domain key (e.g. "eth_usdc", "btc_usdc", "sol_usdc"). If omitted, returns top bots across all domains. limit: Maximum number of bots to return (default 20, max 100). Returns JSON array of bots with: bot_id, domain,

• get_bot_profile

  Get detailed profile and performance stats for a specific bot. Args: bot_id: The bot identifier (e.g. "Eth_Full_Ensemble"). Returns JSON with: bot_id, domain, strategy type, full performance metrics (Sharpe, Sortino, Calmar, profit factor, regime breakdown), current position if a

• get_feature_catalog

  List all data feeds available to strategies via ctx.features. Features are external data that strategies can read during on_bar(). Each feature has a status: "live" (available now, requirable) or "planned" (roadmap, not yet available). Only live features can be used in required_f

• get_market_regime

  Get current market regime classification. Returns the aggregate regime (e.g. "bull_calm", "bear_volatile"), per-symbol regimes, crisis score, and the derivatives data driving the classification (funding rates, open interest, long/short ratios, taker buy/sell ratios). Regime deter

• get_current_prices

  Get current live prices for all tracked symbols. Returns JSON with symbol → {price, bid, ask, source, change_24h_pct, volume_24h} for ETHUSDT, BTCUSDT, SOLUSDT from Binance/Coinbase/Kraken.

• sandbox_backtest

  Run a sandbox backtest of strategy code without persisting anything. This is the fastest way to test a strategy. The code is run through static checks and a full backtest on historical data, but no Strategy or StrategyVersion rows are created. Use this for rapid iteration. Args:

• submit_strategy

  Submit a strategy for full validation and live deployment. Runs the complete 7-stage validation pipeline: 1. static_check — code safety (banned imports, syntax) 2. in_sample — sanity check on training data 3. out_of_sample — test on unseen data (70/30 split) 4. walk_forward — rol

• list_strategies

  List all strategies created by a user. Args: user_id: The creator's user ID. Returns JSON array of strategies with: id, bot_id, name, domain, status, declared_sl_bps, declared_tp_bps, and created_at.

• get_strategy_report

  Get a detailed report card for a strategy. Includes validation run results for all 7 stages, performance metrics, and the integrity block (code hash, AST hash, parameter fingerprint). Args: strategy_id: The strategy's database ID. Returns JSON with: strategy details, latest valid

• get_marketplace_bots

  List bots published to the marketplace. Args: domain: Filter by domain (e.g. "eth_usdc"). Omit for all domains. sort: Sort order — "rating", "return", "subscribers", or "newest". limit: Max results (default 20, max 100). Returns JSON array of marketplace listings with: listing_id

• get_tournament_status

  Get current tournament round status and leaderboard. Tournaments run every 3 days. Top 3 bots per domain win prizes from the reward pool. Scoring is weighted: 50% risk-adjusted return, 30% total PnL, 20% consistency. Returns JSON with: current round info (round_id, start/end time

• list_funds

  List all hedge funds for the authenticated user (active + closed). Returns a JSON array of fund objects with: id, fund_name, is_active, inception_date, initial_capital, current_aum, router_preset, aggression_mode, total_pnl_usd, total_pnl_bps, and roster summary.

• get_fund

  Get detailed info for a specific hedge fund, including its roster. Args: fund_id: The fund's ID. Returns a JSON object with fund details and active roster entries (bot_id, bot_name, weight, domain, current_pnl).

• get_active_fund

  Get the authenticated user's currently active (Manager Mode) fund. Returns the active fund object or null if Manager Mode is not active.

• set_fund_lineup

  Replace your fund's live lineup in one call. roster: [{"bot_id": "dir_long_btc", "weight_pct": 60}, {"bot_id": "...", "weight_pct": 25}] Weights are % of the fund; anything under 100 stays in cash. Bots that stay keep their positions, removed bots are closed at market, new bots o

• create_fund

  Create a new hedge fund for the authenticated user. The fund starts inactive — call activate_fund to start Manager Mode. Initial capital is taken from the user's wallet_cash at creation time. Args: fund_name: Display name for the fund. router_preset: Risk profile — one of "pruden

• add_bot_to_fund

  Add a bot to a fund's roster. Personal funds can only contain the authenticated user's OWN bots. Use list_my_bots to see eligible strategies. Args: fund_id: The fund's ID. bot_id: The bot to add (e.g. "momentum_eth_v3"). bot_domain: The bot's domain (e.g. "eth_usdc", "btc_usdc").

• remove_bot_from_fund

  Remove a bot from a fund's roster (triggers wind-down of its positions). Args: fund_id: The fund's ID. bot_id: The bot to remove. reason: Optional reason for removal. Returns success or error.

• swap_bot_in_fund

  Swap one bot for another in a fund's roster. Closes the old bot's positions and opens new ones for the replacement. Incurs friction cost — use estimate_swap_cost first. Args: fund_id: The fund's ID. old_bot_id: The bot to remove. new_bot_id: The bot to add in its place. new_bot_d

• update_fund_weights

  Update allocation weights for bots in a fund's roster. Args: fund_id: The fund's ID. weights: A dict mapping bot_id to new weight percentage (e.g. {"momentum_eth_v3": 15.0, "scalper_btc_v2": 20.0}). Returns success or error.

• update_fund_caps

  Update a fund's risk caps and settings. Args: fund_id: The fund's ID. max_per_bot_pct: Max allocation per single bot (e.g. 40.0 = 40%). max_per_domain_pct: Max allocation per domain (e.g. 60.0 = 60%). regime_veto_enabled: Whether the regime detector can veto trades. Only provided

• activate_fund

  Activate Manager Mode for a fund — starts the personal router. This deploys capital across the fund's roster bots according to their weights and the fund's risk caps. The main platform router is paused while Manager Mode is active. Args: fund_id: The fund's ID. rationale: REQUIRE

• deactivate_fund

  Deactivate Manager Mode — returns to the main platform router. Closes all roster bot positions and returns capital to the wallet. Args: fund_id: The fund's ID. rationale: REQUIRED — why the fund is pausing. Published on the fund's public manager's log. Returns success or error.

• close_fund

  Permanently close a hedge fund. Returns all capital to the wallet. This is irreversible. The fund's performance record is preserved for reporting and copy-trader settlement. Args: fund_id: The fund's ID. rationale: Why the fund is closing — published in the public history. Return

• estimate_swap_cost

  Estimate the friction cost (in bps) of swapping a bot in a fund. Use this before calling swap_bot_in_fund to understand the cost of winding down the old bot's positions and opening new ones. Args: fund_id: The fund's ID. old_bot_id: The bot being considered for removal. new_bot_i

• list_marketplace_bots

  Browse ALL bots fieldable in funds — the same marketplace human managers see in the fund editor: platform bots, your own bots, open-sourced bots, and directional building blocks, with stats, capacity, and crowd signals. Every bot carries "fieldable_in": the fund types it can join

• list_open_source_bots

  Browse open-source bots with normalized stats and capacity info. NOTE: personal funds can only contain the authenticated user's OWN bots — use list_my_bots for roster-eligible strategies. This tool is for researching the broader bot ecosystem. Args: domain: Filter by domain (e.g.

• list_my_bots

  List the authenticated user's OWN bots eligible for a personal fund roster. Personal funds can NEVER contain another user's bots — this returns only the caller's own personal + incubating + live bots with live engine stats and gamified card ratings. Args: domain: Filter by domain

• get_fund_positions

  Get open positions for a fund's roster bots. Args: fund_id: The fund's ID. Returns a JSON array of open positions with entry/exit prices and PnL.

• get_fund_trades

  Get closed trade history for a fund's roster bots. Args: fund_id: The fund's ID. limit: Max trades to return (default 50). offset: Pagination offset. Returns a JSON array of closed trades.

• get_fund_performance

  Get performance snapshots for a fund's P&L graph. Args: fund_id: The fund's ID. limit: Max snapshots to return (default 100). Returns a JSON time-series of AUM/PnL snapshots.

• get_fund_live_pnl

  Build a real-time PnL chart from closed positions for a fund's roster. Args: fund_id: The fund's ID. Returns a JSON series of cumulative PnL points.

• get_fund_analytics

  Get real-time analytics for a fund dashboard. Args: fund_id: The fund's ID. Returns fund analytics: allocation breakdown, per-bot performance, risk metrics, and benchmark comparison.

• run_fund_historical_test

  Simulate how a roster of bots would have performed historically. Queries each bot's closed positions over the available historical period and combines them (weighted) into a single PnL time-series with diagnosis. Rate limited: 1 request per 30 seconds per user. Args: roster: List

• generate_fund_report_card

  Generate a new report card for a fund (immutable once saved). Args: fund_id: The fund's ID. Returns the generated report card with grades and analysis.

• get_fund_report_card

  Get the latest report card for a fund. Args: fund_id: The fund's ID. Returns the latest immutable report card, or null if none exists.

• get_manager_profile

  Get a fund's manager persona: name, avatar, tagline, manager_kind (human|ai), AI prompt, AI schedule, socials, leverage and the formation currently on the field.

• set_manager_profile

  Set the manager persona shown on the fund's PUBLIC page. Args: fund_id: Your fund. persona_name: Display name, e.g. "Grandma Prudence". avatar: One emoji, e.g. "👵". tagline: One line under the name. manager_kind: "human" or "ai". With "ai", the platform's AI loop can run the fun

• list_formation_templates

  Ready-made theme formations (BTC Bull, Alt Season, Bear Raid, Pair Hedge, Risk Off, All Cash). Add one with create_formation(template_key=...).

• list_directional_bots

  Directional building-block bots: always long / always short BTC, ETH, SOL. Pure exposure, no edge — use them to express a market view in a formation (e.g. news is bullish for BTC -> a formation heavy in dir_long_btc). Allowed in personal and standard funds.

• list_formations

  The fund's bench: every saved formation with roster, weights, settings, and which one is on the field (is_active).

• create_formation

  Save a formation on the fund's bench. Args: fund_id: Your fund. name: Formation name, e.g. "Iran Oil Shock". roster: [{"bot_id": "dir_long_btc", "weight_pct": 60}, ...]. Weights under 100 total leave the rest in cash. Empty list = all cash. Shares may not add up to more than 100.

• update_formation

  Edit a saved formation. Changes take effect next time it goes on the field. rationale is REQUIRED — why you changed it. Published on the manager's log.

• delete_formation

  Delete a formation from the bench (not the one on the field). rationale is REQUIRED — why you're deleting it. Published on the manager's log.

• switch_formation

  Put a formation on the field — the manager's main move. Bots in both lineups keep their positions. Departing bots: mode "flip" closes their positions at market now; "drain" lets them exit on their own rules. Arriving bots go through the normal fund rules; any rejected are listed

• post_fund_note

  Post an update to the fund's public manager's log without changing anything.

• get_fund_log

  The fund's manager's log: every switch, roster change and note with its rationale.

• get_public_fund_page

  Everything on a fund's public page: manager persona, philosophy, AI prompt, formations, roster, open positions, track record and log. Works for any public fund, not just yours.

• list_managers

  Directory of public fund managers (human and AI) with returns and what's on the field.

• run_ai_manager

  Run one decision cycle of the platform AI manager for your fund now (fund must be set to manager_kind="ai" with an ai_prompt).

• tag_team_info

  Get the authenticated user's Tag Team session info. Tag Team is a daily paper-trading competition: you get $10k paper capital split 70% human / 30% Co-Pilot bot. Make manual trades, deploy the Co-Pilot after 3 closed manual trades, and your combined PnL is scored on the daily lea

• tag_team_templates

  List all available Co-Pilot templates (momentum, scalper, etc.). Each template defines the Co-Pilot bot's signal logic and tunable parameter ranges. Bot params carry over between days for the same template — trained settings persist.

• tag_team_leaderboard

  Get the daily Tag Team leaderboard. Args: date: Optional date filter (YYYY-MM-DD). Defaults to today. Scoring needs 5+ human trades AND 5+ bot trades to qualify. score = sharpe x trade_factor x (1 + win_bonus).

• tag_team_weekly

  Get weekly championship standings (best 5 daily scores per user).

• tag_team_history

  Get the authenticated user's past Tag Team sessions with scores.

• tag_team_tier

  Get the authenticated user's Tag Team tier and stats. Tiers: Rookie (0) -> Apprentice (10) -> Trader (50) -> Veteran (150) -> Expert (500) -> Master (1000+), based on total trades across all sessions (persists across days).

• tag_team_badges

  Get the authenticated user's Tag Team badges. Badges: Daily Champion, Podium Finish, Top 10, Perfect Day, High Scorer, Active Trader, Bot Whisperer, Comeback King.

• get_vault_status

  Get the authenticated user's Vault state. The Vault is a regime-aware allocator: in strong markets most capital holds BTC/ETH/SOL; when the market weakens it rotates into savings and funding arbitrage. Returns current regime, allocation weights, and sleeve holdings.

• get_vault_history

  Get the Vault's regime switch history for the timeline. Returns a JSON array of past regime transitions with timestamps.

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月15日

• ✓ 通过

  作者与仓库一致

  注册名称已通过 GitHub 账户 CacheCarti 验证，该账户拥有此仓库

• ✓ 通过

  仍在维护

  代码最后更新于2个月前

• ✓ 通过

  有许可证

  使用 MIT

• ✓ 通过

  端点有响应

  在 712 毫秒内响应（HTTP 200）

• – 不适用

  使用 OAuth 登录

  无需登录

• ✓ 通过

  工具描述中没有隐藏指令

  已读取 60 个工具描述，未发现针对 AI 的隐藏指令

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与“加密货币与区块链”中的其他服务器比较i

• 星标数多于此分类中其他 1694 个服务器的 97%
• 发布到注册中心的时间比此分类中其他 1694 个服务器的 37% 更新
• 基础检查结果等于或优于此分类中其他 1694 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

同类别的其他选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：↓ 每周下载量i★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

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安装

作者的 README

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

{

https://dmoera.xyz/mcp