MCP server

dMoERA Creator

io.github.CacheCarti/dmoera-creator

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Build, backtest, and deploy crypto trading strategies via MCP with 7-stage validation.

Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

59

Token cost

About 10,295 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.dmoera-creator]
url = "https://dmoera.xyz/mcp"

Gemini CLI

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

Cursor

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

VS Code

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

Antigravity

agy mcp add dmoera-creator https://dmoera.xyz/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"dmoera-creator","server_url":"https://dmoera.xyz/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"dmoera-creator","server_url":"https://dmoera.xyz/mcp"}

Tools

• activate_fund ~150 tokens
  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. Returns
• add_bot_to_fund ~276 tokens
  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_u
• close_fund ~131 tokens
  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. Returns success or error.
• create_formation ~529 tokens
  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
• create_fund ~463 tokens
  Create a new personal 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. Personal funds can ONLY contain the user's own bots — use list_my_bots to see elig
• deactivate_fund ~120 tokens
  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. Returns success or error.
• delete_formation Deletes data · ~137 tokens
  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.
• estimate_swap_cost ~251 tokens
  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.
• generate_fund_report_card ~114 tokens
  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_active_fund ~79 tokens
  Get the authenticated user's currently active (Manager Mode) fund. Returns the active fund object or null if Manager Mode is not active.
• get_bot_profile ~155 tokens
  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 positio
• get_current_prices ~98 tokens
  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.
• get_feature_catalog ~168 tokens
  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_feat
• get_fund ~122 tokens
  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_fund_analytics ~120 tokens
  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.
• get_fund_live_pnl ~108 tokens
  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_log ~94 tokens
  The fund's manager's log: every switch, roster change and note with its rationale.
• get_fund_performance ~136 tokens
  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_positions ~108 tokens
  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_report_card ~106 tokens
  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_fund_trades ~156 tokens
  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_manager_profile ~108 tokens
  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.
• get_market_regime ~180 tokens
  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 det
• get_marketplace_bots ~237 tokens
  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 wi
• get_public_fund_page ~112 tokens
  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.
• get_strategy_report ~160 tokens
  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, lates
• get_tournament_status ~148 tokens
  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,
• get_vault_history ~76 tokens
  Get the Vault's regime switch history for the timeline. Returns a JSON array of past regime transitions with timestamps.
• get_vault_status ~121 tokens
  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.
• list_bots ~195 tokens
  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 w
• list_directional_bots ~118 tokens
  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_domains ~147 tokens
  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: k
• list_formation_templates ~84 tokens
  Ready-made theme formations (BTC Bull, Alt Season, Bear Raid, Pair Hedge, Risk Off, All Cash). Add one with create_formation(template_key=...).
• list_formations ~90 tokens
  The fund's bench: every saved formation with roster, weights, settings, and which one is on the field (is_active).
• list_funds ~116 tokens
  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.
• list_managers ~77 tokens
  Directory of public fund managers (human and AI) with returns and what's on the field.
• list_my_bots ~170 tokens
  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
• list_open_source_bots ~180 tokens
  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
• list_strategies ~123 tokens
  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.
• post_fund_note ~108 tokens
  Post an update to the fund's public manager's log without changing anything.
• remove_bot_from_fund ~159 tokens
  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.
• run_ai_manager ~94 tokens
  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).
• run_fund_historical_test ~244 tokens
  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
• sandbox_backtest ~384 tokens
  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:
• set_fund_lineup ~235 tokens
  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 open
• set_manager_profile ~583 tokens
  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'
• submit_strategy ~427 tokens
  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 — ro
• swap_bot_in_fund Moves money · ~324 tokens
  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 it
• switch_formation ~234 tokens
  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 in
• tag_team_badges ~88 tokens
  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.
• tag_team_history ~56 tokens
  Get the authenticated user's past Tag Team sessions with scores.
• tag_team_info ~146 tokens
  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 leader
• tag_team_leaderboard ~133 tokens
  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_templates ~112 tokens
  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_tier ~106 tokens
  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_weekly ~55 tokens
  Get weekly championship standings (best 5 daily scores per user).
• update_formation ~307 tokens
  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.
• update_fund_caps ~270 tokens
  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 trad
• update_fund_weights ~167 tokens
  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.

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