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
Visit Server

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

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured