Nan-Shen/mcp-server-tradersis
If you are the rightful owner of mcp-server-tradersis and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
This project is a Model Context Protocol (MCP) server designed for financial analysis, enabling LLMs to retrieve, analyze, and visualize stock prices and financial report data.
The MCP Server for Financial Analysis is a powerful tool that integrates with large language models (LLMs) to facilitate comprehensive financial analysis. It is designed to support quantitative trading research, investment analysis, and financial education by providing real-time and historical stock data, financial statement analysis, and visualization capabilities. The server allows LLMs to compute key financial metrics, generate trading insights, and visualize data trends, making it an invaluable resource for traders, analysts, and educators. With JSON-serializable outputs, it ensures seamless integration with various LLMs, enhancing their ability to process and interpret financial data effectively.
Features
- Retrieve real-time and historical stock prices for single or multiple tickers.
- Extract and analyze financial statements including income, balance sheet, and cash flow.
- Calculate key financial and technical metrics such as PE, ROE, and moving averages.
- Visualize price data, financial metrics, and trading signals.
- Provide LLM-friendly, JSON-serializable outputs for easy integration.
Usages
usage with Claude
{"mcpServers":
{"tradersis-mcp": {
"command": "uv",
"args": [
"run",
"--directory",
"/directory/to/your/mcp",
"main.py"
]
}
}
}