What dependencies are required?
Python 3.9+, Docker and Docker Compose, the uv package manager, and a TimescaleDB instance.
@yanqinghao
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-crypto-server-yanqinghao": {
"command": "uv",
"args": [
"venv"
]
}
}
}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
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.
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.
Python 3.9+, Docker and Docker Compose, the uv package manager, and a TimescaleDB instance.
Update the exchange service in `services/exchange_service.py` with the new exchange configuration and update the available symbols in `resources/symbols.py`.
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`.
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).
The README does not specify transport or authentication details.
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