Skip to main content
Glama
PelleNybe

Crypto Multi-MCP Hub

by PelleNybe

🌌 Crypto MCP Server & Hedgehog Agentic Trading Dashboard πŸ¦”

Python 3.11+ Node.js 20+ License: MIT

A massively scaled Model Context Protocol (MCP) infrastructure designed to act as a localized, AI-powered Hedge Fund Orchestrator. It acts as the backbone for local LLMs (like Claude Desktop) to ingest real-time market data, analyze technicals/sentiment, and autonomously execute trades.

🌟 Author: Pelle Nyberg | Corax CoLAB πŸŽͺ Explore more: Crypto P's Crypto Circus

🧬 What makes this different?

This is not just another API wrapper. It is a multi-agent architectural playground.

  • Zero Mock-ups. 100% Real Data. Every visualizer, sonar sweep, and grid is driven by live websockets and REST data.

  • Extensible MCP Architecture. Easily add new modules. The system natively multiplexes JSON-RPC commands.

  • Hardened Security. Local SQLite, password-protected backend execution, no cross-site scripting gaps. Uses crypto.timingSafeEqual for password verification.

Our terminal is a living, breathing Hedge Fund AI Orchestrator, packed with cutting-edge tools.

πŸ€– Autonomous Orchestrator Mode (Agentic Loop)

Evolving from a passive Multi-MCP tool, the server acts as an autonomous 24/7 trading agent framework running a continuous Observe-Analyze-Act (OODA) loop.

  • πŸ‘οΈ Observe (gather_market_data): Queries multiple MCPs (e.g., Technical indicators, News sentiment, On-chain data).

  • 🧠 Analyze (analyze_with_llm): Evaluates signals using an LLM (Gemini, Claude, or OpenAI) for a structured decision (BUY, SELL, HOLD).

  • ⚑ Act (execute_trade): Executes trades via the local CCXT MCP.

  • πŸ§ͺ Agentic Backtesting: Safely test AI prompts and models against historical OHLCV data without risking real funds.

  • πŸ“– Proof of Brain (Trading Diary): Comprehensive markdown reports detailing the "Board of Directors" reasoning for every action taken.

πŸ“± Telegram Command Center

Receive real-time alerts and command your trading agent via Telegram.

  • /status: View active AI providers and last decisions.

  • /report: Receive your latest "Proof of Brain" report.

  • /analyze: Trigger a manual OODA cycle.

🌌 100% Real Data Integration & Visualizer Dynamics

The Crypto MCP Server uses real data across all visualizers. The entire system operates without a single mockup!

  • 🎯 Dark Pool Sonar: Real-time 3D sonar pings for large volume "whale" trades on central exchanges using @react-three/fiber and dynamic emissive materials.

  • πŸ”₯ Flash-Crash Prediction Matrix: Glowing heatmap grid of bids to asks, tracking liquidity drains in real time via CCXT orderbooks.

  • πŸš€ Galaxy View (Gravity Well): Cinematic 3D mapping of the top 50 cryptocurrencies with a glowing central sun and accretion disk.

  • 🧠 AI Sentiment Word-Cloud Sphere: Extracts trending keywords and sentiment from real-time news to form an interactive 3D floating sphere.

  • ⚑ Gas & Network Congestion Hologram: Visualizes Ethereum network congestion as a glowing, pulsating reactor core.

  • πŸ”¬ Time-Machine Backtest Arena: Fully functional OHLCV visualizer to playback and simulate trading strategies (e.g. SMA Crossovers).


Related MCP server: All-in-One Crypto Trading MCP Server

πŸš€ The Multi-MCP Ecosystem

This repository comes bundled with over a dozen powerful MCPs (Model Context Protocol). They provide execution, raw data, analysis, and external system integrations.

MCP Server

Description

Port

πŸ’± ccxt_mcp

The core exchange trading & market data integration via CCXT.

7001

⛓️ onchain_mcp

ETH balances, ERC20 balances, transaction info, and live Gas Prices.

7002

πŸ“Š ta_mcp

Compute Technical Indicators (RSI, MACD, SMA50, BB) and Monte Carlo Simulations.

7003

πŸ’Ό portfolio_mcp

Aggregated portfolio balances and performance tracking.

7004

🦎 coingecko_mcp

Deep market stats, top coins, and historical trends.

7005

🧠 llm_mcp

Local/Remote LLM operations and Copilot interactions.

7006

πŸ”” notifier_mcp

System notifications, alerts, and Telegram broadcasting.

7007

πŸ“ˆ freqtrade_mcp

Interfaces with local Freqtrade instances via REST APIs.

7011

πŸ™ octobot_mcp

Interfaces with local OctoBot instances via REST APIs.

7012

🐦 hummingbot_mcp

Controls local Hummingbot Gateway APIs.

7013

πŸ€– superalgos_mcp

Interacts with the Superalgos platform API.

7014

πŸ“° news_mcp

Fetches the latest crypto news from CryptoPanic.

7017


πŸ—ΊοΈ System Overview & Architecture

Explore the architecture, installation success, and security models below:


βœ… Quick Start β€” Automated

Place the provided install.sh into $HOME/install.sh (or $HOME/cryptomcpserver/install.sh if you prefer). Make it executable and run it:

# Save install.sh to $HOME/install.sh, then:
cd $HOME
chmod +x install.sh
./install.sh

What install.sh does (summary):

  1. Creates directories and writes backend & frontend files.

  2. Installs Node.js if missing and runs npm install for backend & frontend.

  3. Ensures the orders table exists in $HOME/cryptomcpserver/gui/backend/orders.db.

  4. Frees port 4000 if occupied, then installs & enables the systemd service crypto-mcp-gui.service.

  5. Attempts a production build of the frontend.

After running, check service status and logs:

sudo systemctl status crypto-mcp-gui.service
sudo journalctl -u crypto-mcp-gui.service -f

πŸ›  Manual Install

If you prefer a hands-on approach:

1. Install system deps & Python Requirements:

sudo apt update
sudo apt install -y curl build-essential ca-certificates git python3-pip
pip3 install -r requirements.txt

2. Install Node.js (if needed):

curl -sL https://deb.nodesource.com/setup_20.x | sudo -E bash -
sudo apt install -y nodejs

3. Backend & Global Config:

cd $HOME/cryptomcpserver
cp .env.example .env
# Edit .env to add your passwords, keys, and allowed pairs

cd gui/backend
npm install

4. Frontend (Dev):

cd $HOME/cryptomcpserver/gui/frontend
npm install
npm run dev -- --host   # Open http://<PI_IP>:5173 on your laptop

5. Systemd (Backend):

# Create /etc/systemd/system/crypto-mcp-gui.service
sudo systemctl daemon-reload
sudo systemctl enable --now crypto-mcp-gui.service

βš™οΈ Configuration

The system uses a centralized .env file located at the root of the project to manage both Python MCP servers and the Node.js backend.

Copy and edit $HOME/cryptomcpserver/.env.example β†’ .env:

# Essential configuration
PORT=4000
DASHBOARD_PASSWORD=your_secure_password # Required for trading and AI reasoning
ALLOWED_PAIRS=BTC/USDT,SOL/USDT # Fail-closed security: only these pairs are allowed
MAX_TRADE_USD=100.0 # Maximum allowed trade amount per transaction

# API Keys
BINANCE_API_KEY=your_key
BINANCE_API_SECRET=your_secret

# --- Autonomous Orchestrator Settings ---
ACTIVE_LLM_PROVIDER="gemini"
GEMINI_API_KEY="your_google_gemini_key_here"
TELEGRAM_BOT_TOKEN="your_token_here"
TELEGRAM_CHAT_ID="your_chat_id_here"

πŸ”— Claude Desktop Integration

Add MCP servers in Claude Desktop (Step-by-step)

  1. Open the Claude Desktop app.

  2. Navigate to App Settings / Preferences.

  3. Find Local MCP Servers.

  4. Click + (Add) and fill in the fields:

    • Name: ccxt

    • Description: CCXT MCP – exchange trading & market data

    • Transport: http

    • Endpoint: http://127.0.0.1:7001/mcp (if Claude runs on Pi) or http://<pi-ip>:7001/mcp (if Claude runs on laptop)

  5. Save. Repeat for other MCPs (coingecko, portfolio, onchain, ta, news, etc.) using their respective ports.


πŸ–₯ Dashboard User Manual

  • πŸ“Š Portfolio: View aggregated balances & USD value.

  • πŸ“ˆ Ticker: Live market data (via ccxt MCP).

  • πŸ›’ Order / Trade:

    • Preview (dry_run): Calculates estimated cost and logs a preview.

    • Confirm β†’ Place order: Sends create_order to CCXT MCP.

  • πŸ“œ Orders Log: Real-time updates via Socket.io, paginated with indices.

  • πŸ€– AI Copilot: Voice-activated command center powered by local LLMs.

⚠️ Safety Warning: Always test with testnet keys. The UI requires confirmation to execute live orders.


πŸ”’ Security & Best Practices

  • πŸ§ͺ Testnet First: Use testnet keys while testing your strategies.

  • πŸ”‘ Environment Variables: Keep API keys absolutely out of the repository.

  • πŸ›‘οΈ Network Isolation: Restrict access to MCP endpoints to your local LAN only.

  • πŸ” Authentication: Endpoints are fully secured with DASHBOARD_PASSWORD verification and robust anti-SSRF checks.

Related MCP Connectors

Related MCP Servers

  • A
    license
    A
    quality
    D
    maintenance
    The conviction engine for autonomous crypto trading agents. 376 metrics across 8 factor classes, multi-factor backtesting, signal persistence, and regime analysis β€” 21 tools for AI agents via MCP.
    21
    18 npm
    MIT
  • F
    license
    Not graded
    quality
    C
    maintenance
    Enables MCP-compatible AI clients to access live crypto market data and AI-driven quantitative analysis, with structured outputs and full observability.
    -
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables AI tools to execute trades and fetch market data across six crypto exchanges via natural language or API, with dual Telegram and MCP interfaces.
    2
    -