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MCP Crypto Server

@yanqinghao

リポジトリ

基本情報

カテゴリ

金融とコマース

ライセンス

MIT license

トランスポート

stdio

作者

yanqinghao

MCP Crypto Server について

概要はまだありません

#mcp-crypto-server#crypto-analysis#market-data

MCP Crypto Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-crypto-server-yanqinghao": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

MCP Crypto Server のツール

5

Analyze market trends and provide technical indicators

Get real-time or historical price data for specific cryptocurrencies

Generate AI-driven market insights and predictions

Analyze news sentiment and impact on specific coins

Generate summaries of recent crypto news

概要

What is MCP Crypto Server?

MCP Crypto Server is a high-performance cryptocurrency market data and analysis platform built with FastMCP, CCXT, TimescaleDB, and RSS feed integration. It provides real-time market data, advanced analytics, LLM-powered insights, and crypto news aggregation, enabling seamless integration with AI applications via the Model Context Protocol.

How to use MCP Crypto Server?

Install Python 3.9+, Docker, and uv, then clone the repository and set up the virtual environment. Configure TimescaleDB via Docker, copy and edit the .env file, and start the server with uv run python main.py. The server exposes MCP tools, resources, and prompts that can be called from MCP clients like Claude Desktop.

Key features of MCP Crypto Server

  • Real-time cryptocurrency market data from multiple exchanges via CCXT
  • Historical price data analysis with TimescaleDB
  • LLM integration for market trend analysis
  • Crypto news aggregation and sentiment analysis
  • Custom RSS feed subscriptions and management
  • MCP protocol support for AI application integration

Use cases of MCP Crypto Server

  • AI-powered market analysis and trading recommendations
  • Aggregating and analyzing sentiment of crypto news from multiple sources
  • Building custom dashboards with real-time and historical price data
  • Integrating cryptocurrency data into AI assistants and automation tools
  • Backtesting trading strategies using historical market data

よくある質問

1

What dependencies are required?

Python 3.9+, Docker and Docker Compose, the uv package manager, and a TimescaleDB instance.

2

How do I add a new cryptocurrency exchange?

Update the exchange service in `services/exchange_service.py` with the new exchange configuration and update the available symbols in `resources/symbols.py`.

3

How do I add custom RSS feeds?

Add the feed configuration to the `RSS_FEEDS` list in `config/settings.py`. Optionally extend the news service with custom parsers in `services/news_service.py`.

4

What MCP capabilities does the server expose?

It provides tools (market analysis, price data, LLM analysis, news analysis, news summary), resources (symbols list, market data, historical data, news feeds), and prompts (analyze market trend, generate trading recommendation, analyze news impact).

5

What transport or authentication does the server use?

The README does not specify transport or authentication details.

コメント

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