CoinGlass MCP Server

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.

Category
访问服务器

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

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。

官方
精选
JavaScript
Playwright MCP Server

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。

官方
精选
TypeScript
Magic Component Platform (MCP)

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。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

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。

官方
精选
本地
TypeScript
VeyraX

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。

官方
精选
本地
graphlit-mcp-server

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。

官方
精选
TypeScript
Kagi MCP Server

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。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

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。

官方
精选