dMoERA Creator

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

• 연결 방식: 클라우드에서 실행
• 전송 방식: Streamable HTTP
• 카테고리: 암호화폐 및 블록체인

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

필요한 것

• 클라우드에서 실행설치할 것 없음. 인터넷으로 연결돼요

어떤 앱을 쓰세요?

https://dmoera.xyz/mcp

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

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

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

https://dmoera.xyz/mcp

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

도구 이름과 설명은 서버가 2026년 11월 10일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.

• 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.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 10일 점검

• ✓ 통과

  제작자와 저장소 일치

  레지스트리 이름이 GitHub 계정 CacheCarti 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

• … 아직 점검 안 함

  계속 관리되고 있음

  아직 GitHub에서 이 저장소를 읽어 오지 않았어요

• … 아직 점검 안 함

  라이선스 있음

  아직 GitHub에서 이 저장소를 읽어 오지 않았어요

• ✓ 통과

  엔드포인트 응답

  93ms 만에 응답(HTTP 200)

• – 해당 없음

  OAuth로 로그인

  로그인 필요 없음

• ✓ 통과

  도구 설명에 숨겨진 지시 없음

  도구 설명 60개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요

암호화폐 및 블록체인 카테고리의 다른 서버와 비교i

• 이 카테고리의 다른 서버 1636개 중 0%보다 스타가 많아요
• 이 카테고리의 다른 서버 1636개 중 40%보다 최근에 레지스트리에 공개됐어요
• 기본 점검 결과가 이 카테고리의 다른 서버 1636개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

제작자의 README

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

{

https://dmoera.xyz/mcp