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  1. Home
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  3. DMoERA Creator
DMoERA Creator logo
Health: ActiveRecent health check succeeded.Last checked 10/4/2026, 7:46:15 AM

DMoERA Creator

User RatingsBe the first to rate and review this MCP server!
View Repository8 GitHub StarsTotal stargazers on GitHub for the source repository (8 stars).Visit Website
cryptotradingbacktestingfinancemcp

Build, test, validate, and deploy crypto strategies while managing personal hedge funds through MCP.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON â–¾

Client Config & Setup

Remote HTTP
Configure Environment Variables (API Keys, Tokens, Options):
Add required secrets below — values are included directly in the generated snippet so you can copy and paste with confidence.
Quick Add:
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "dmoera-creator": {
      "url": "https://dmoera.xyz/mcp",
      "env": {
        "DMOERA_API_URL": "YOUR_VALUE_HERE",
        "DMOERA_API_KEY": "YOUR_VALUE_HERE"
      }
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (26) Directory Badge Claim listing Alternatives💰 More in Finance & Fintech

Overview

The dMoERA Creator MCP server exposes the dMoERA Creator API to MCP-compatible agents over HTTP. It supports market and bot discovery, live price and regime queries, sandbox backtesting, seven-stage strategy validation, and deployment workflows. Authenticated users can also create and operate personal hedge funds, allocate their own bots, adjust risk controls, and inspect performance. Use it when an agent needs to research crypto strategies or manage dMoERA trading workflows.

Use cases

•Discover crypto trading domains and available market data feeds
•Backtest strategy code before submitting it for validation
•Submit strategies for seven-stage validation and deployment
•Manage personal bot allocations through hedge funds

Key features

•Crypto market and bot discovery
•Sandboxed strategy backtesting
•Seven-stage strategy validation
•Personal hedge fund management
•Fund performance and risk reporting

Capabilities & Tool Schemas (26) ~555 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by DMoERA Creator.

list_domains

List all available trading domains (ETH, BTC, SOL — spot, scalp, crisis, volatility)

list_bots

List trading bots ranked by performance, optionally filtered by domain

get_bot_profile

Get detailed profile and performance stats for a specific bot

get_feature_catalog

List all data feeds available to strategies via `ctx.features` (fear/greed, funding rates, order book, etc.)

get_market_regime

Get current market regime classification (bull/bear/neutral/crisis) with derivatives data

get_current_prices

Get current live prices for all tracked symbols (ETH, BTC, SOL)

How DMoERA Creator works

What dMoERA Creator MCP server does

The dMoERA Creator MCP server gives an MCP client access to dMoERA’s crypto trading and fund-management API. Its discovery tools cover supported domains, available strategy data feeds, current market regimes, tracked prices, bot profiles, marketplace listings, and tournament standings. The listed domains include ETH, BTC, and SOL activities such as spot, scalp, crisis, and volatility strategies.

For strategy development, agents can run code through sandbox_backtest, review user strategies, and retrieve strategy report cards. submit_strategy sends a strategy through the platform’s full seven-stage validation process and supports live deployment when the submission qualifies.

The fund features are intended for authenticated users. A user can create a personal hedge fund, add eligible bots, set allocation weights and risk caps, activate or deactivate Manager Mode, and close a fund. Personal funds can contain only the authenticated user’s own bots. Additional reporting tools cover positions, closed trades, performance snapshots, live P&L, analytics, historical tests, and fund report cards.

How it works

The dMoERA Creator MCP server acts as an HTTP API client rather than embedding dMoERA’s internal implementation. An MCP-compatible agent calls the exposed tools, and the server forwards those requests to a running dMoERA backend or the public instance. Clients may run the server locally through a Python command or connect to the documented Streamable HTTP endpoint at https://dmoera.xyz/mcp.

A typical workflow starts with public discovery: inspect domains and features, examine bots, and check market conditions. Strategy code can then be tested in the sandbox over a 60-day window. A more extensive submission uses a 23-month validation window and the platform’s seven validation stages. Fund operations require an API key and can include estimating swap friction before changing a roster.

Setup and configuration

Run the server with Python 3.11 or newer and install the mcp package plus the repository requirements. A local MCP configuration points the client at mcp_creator_server.py using an absolute path.

Set DMOERA_API_URL to the backend address, such as https://dmoera.xyz. DMOERA_API_KEY holds a personal access token created in dMoERA under Settings → API Keys. The key is optional for public discovery and market-data calls, but is required for backtesting, strategy submission, and authenticated user operations. Tokens should not be committed to source control.

Tools and capabilities

  • Discover domains, feature feeds, bots, marketplace listings, prices, and market regimes.
  • Inspect bot profiles, strategy reports, tournament rounds, and leaderboards.
  • Backtest strategy code in an isolated environment and submit it for validation.
  • Create, configure, activate, deactivate, and close personal funds.
  • Add, remove, or swap eligible bots and update weights or risk caps.
  • Review fund positions, trades, P&L, analytics, historical tests, and report cards.

Limitations and notes

The dMoERA Creator MCP server depends on a reachable dMoERA backend. Public discovery tools do not require authentication, while strategy development and fund-management operations generally do. Sandbox backtests use a 60-day period, whereas full strategy submission uses a 23-month window. Historical fund tests are rate limited.

Fund membership is restricted to the authenticated user’s own bots. Removing a bot triggers position wind-down, swapping a bot incurs a friction cost, and permanently closing a fund is irreversible. Activating Manager Mode deploys capital across the configured roster; deactivating it closes positions and returns capital to the wallet.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
8
Stargazers on the source repository.
Last commit
26d ago
Most recent push to the default branch.
Tools exposed
26
Callable tools this server registers over MCP.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about DMoERA Creator

dMoERA Creator is an MCP server that connects AI agents to the dMoERA Creator API over HTTP. It provides sandbox_backtest and submit_strategy for strategy testing and validation, plus market discovery tools and personal fund-management tools such as create_fund, activate_fund, and update_fund_weights.

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Technical Specs & Signals

Category💰Finance & Fintech
More technical detailsExpand â–¾
TransportSSE (Remote)
ClientsClaude Desktop, Cursor, Windsurf
Last updatedOct 6, 2026
7/7 checks healthy over the last 44d
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars8
GitHub Star CountTotal stargazers on GitHub representing community popularity (8 stars).
Last commit26d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 14, 2026
47Quality signal: Fair · 47/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership4/20
Documentation & tools25/30
Adoption & activity6/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

6 high-severity advisories on record for this package. Most advisories affect transitive dependencies and may not be exploitable in this server's actual usage — this is a directional signal, not a security audit.

Critical 0High 6Medium 0Low 6

Scanned 8/27/2026 via OSV.dev · https://dmoera.xyz/mcp (PyPI)

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