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rcz87

CoinGlass MCP Server

by rcz87
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Python
Hybrid

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

Related MCP server: CoinGlass MCP Server

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

This server cannot be installed

A
license - permissive license
-
quality - not tested
D
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

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