CoinGlass MCP Server
Enables Claude AI to access real-time crypto derivatives data from CoinGlass API, including CVD, funding rates, and liquidation maps, optimized for scalping strategies.
README
CoinGlass MCP Server
MCP Server yang menghubungkan Claude AI dengan CoinGlass API untuk analisis crypto derivatives real-time — dioptimasi untuk Ricoz Scalping Framework.
Arsitektur
Claude AI (claude.ai) ←── Streamable HTTP ──→ CoinGlass MCP Server (VPS)
│
↓
CoinGlass API V4
18 Tools
Critical (Ricoz Scalping Core)
| Tool | Endpoint | Fungsi |
|---|---|---|
coinglass_spot_cvd |
Spot Aggregated CVD | VETO SIGNAL — SpotCVD negatif = jangan long |
coinglass_futures_cvd |
Futures Aggregated CVD | Entry filter — konfirmasi arah |
coinglass_funding_rate |
FR semua exchange | Sentiment — extreme = contrarian |
coinglass_open_interest |
OI aggregated history | Positioning — OI + price direction |
coinglass_liquidation_map |
Liquidation clusters | Target — magnetic zones |
coinglass_orderbook |
Orderbook delta history | Pressure — bid/ask imbalance |
Important (Supporting Analytics)
| Tool | Fungsi |
|---|---|
coinglass_price_ohlc |
Price OHLC history |
coinglass_liquidation_history |
Liquidation volume over time |
coinglass_long_short_ratio |
L/S ratio (contrarian indicator) |
coinglass_taker_buysell |
Taker aggressor side |
coinglass_fr_arbitrage |
Extreme FR across all coins |
coinglass_coins_markets |
Market overview semua coin |
Nice-to-Have
| Tool | Fungsi |
|---|---|
coinglass_whale_alert |
Hyperliquid whale positions |
coinglass_fear_greed |
Fear & Greed index |
coinglass_footprint |
Footprint chart data (90d) |
coinglass_spot_netflow |
Exchange net flow |
coinglass_orderbook_heatmap |
Orderbook depth visual |
Composite
| Tool | Fungsi |
|---|---|
coinglass_full_scan |
ALL-IN-ONE — 9 metrics dalam 1 call |
Quick Start
1. Clone & Install
git clone https://github.com/rcz87/McPCG.git
cd McPCG
python3 -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"
2. Setup API Key
cp .env.example .env
nano .env # masukkan COINGLASS_API_KEY
3. Run Server
# HTTP mode (untuk claude.ai remote)
python -m coinglass_mcp.server
# Stdio mode (untuk Claude Desktop lokal)
MCP_TRANSPORT=stdio python -m coinglass_mcp.server
Server berjalan di http://0.0.0.0:8787/mcp
4. Connect ke Claude
claude.ai (remote):
Settings → Integrations → Add MCP Server → URL: http://YOUR_VPS_IP:8787/mcp
Claude Desktop (lokal):
{
"mcpServers": {
"coinglass": {
"command": "python",
"args": ["-m", "coinglass_mcp.server"],
"cwd": "/path/to/McPCG",
"env": {
"COINGLASS_API_KEY": "your-key",
"COINGLASS_PLAN": "standard",
"MCP_TRANSPORT": "stdio"
}
}
}
}
Deploy ke VPS
One-Command Setup
# Di VPS:
git clone https://github.com/rcz87/McPCG.git ~/coinglass-mcp
cd ~/coinglass-mcp
bash deploy/setup-vps.sh
Management Commands
bash deploy/manage.sh start # Start server
bash deploy/manage.sh stop # Stop server
bash deploy/manage.sh restart # Restart
bash deploy/manage.sh status # PM2 status
bash deploy/manage.sh logs # View logs
bash deploy/manage.sh update # Pull + restart
bash deploy/manage.sh health # Health check
bash deploy/manage.sh tools # List tools
HTTPS (Optional tapi Recommended)
bash deploy/setup-nginx.sh yourdomain.com
Tech Stack
| Component | Version |
|---|---|
| Python | >= 3.10 |
| FastMCP | 3.1.1 |
| httpx | >= 0.25.0 |
| tenacity | >= 8.2.0 |
| CoinGlass API | V4 |
Project Structure
McPCG/
├── src/coinglass_mcp/
│ ├── __init__.py # Package
│ ├── config.py # Plan tiers, intervals, rate limits
│ ├── client.py # Async HTTP client + caching + retry
│ └── server.py # FastMCP server + 18 tools
├── tests/
│ ├── test_config.py # Config tests
│ └── test_client.py # Client tests
├── deploy/
│ ├── setup-vps.sh # VPS setup script
│ ├── setup-nginx.sh # Nginx + SSL setup
│ └── manage.sh # Management commands
├── docs/
│ └── RICOZ-TRADING-CHEATSHEET.md
├── BLUEPRINT-MCP-SERVER.md
├── pyproject.toml
├── .env.example
└── .gitignore
Lisensi
MIT
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。