What dependencies are required?
Python 3.9+, Docker and Docker Compose, the uv package manager, and a TimescaleDB instance.
MCP Crypto Server
@yanqinghao
Basic information
About MCP Crypto Server
No overview available yet
MCP Crypto Server config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-crypto-server-yanqinghao": {
"command": "uv",
"args": [
"venv"
]
}
}
}MCP Crypto Server tools
5Analyze 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
Overview
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
Frequently asked questions
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`.
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`.
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).
What transport or authentication does the server use?
The README does not specify transport or authentication details.
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