Stock Analysis MCP Server

This project is a server built using the FastMCP framework, providing various tools for accessing and analyzing stock market data.

Features

The server exposes the following tools:

• Concept Power Tools (: Analyzes the strength of stock concept sectors based on fund flow and price change.

• Finance Tools (: Provides access to stock financial core indicators and company information.

• Stock F10 Tools (: Fetches and summarizes Stock F10 information.

• Market Emotion Tools (: Retrieves and summarizes A-share market emotion indicators.

• Stock Keep Up Tools (: Provides lists of continuous limit-up stocks and limit-up stocks.

• Web Search Tools (Tavily) (: Provides a web search tool.

Related MCP server: Volume Wall Detector MCP

Setup and Installation

1. Clone the repository:

   git clone <repository_url> cd mcp_stock

2. Create a virtual environment (recommended):

   python -m venv venv source venv/bin/activate

3. Install dependencies:

   Install the required packages using pip:

   pip install -r requirements.txt playwright install

4. Configuration:

   Some tools might require API keys or other configuration. Please refer to the config.py file and potentially create a .env file if necessary (based on os.getenv usage in server.py).

   TAVILY_API_KEY=

5. Run the server:

   You can run the server using the server.py script. The server will listen on the port specified by the PORT environment variable, defaulting to 8000.

   fastmcp run server.py --transport=sse --port=8000 --host=0.0.0.0

   To run on a specific port:

   fastmcp run server.py --transport=sse --port=8000 --host=0.0.0.0

Usage

Once the server is running, you can interact with the tools via the /mcp prefix followed by the tool's mount path (e.g., /mcp/stock, /mcp/finance). The specific endpoints and expected parameters for each tool can be found by examining the tool definitions within each tool's Python file.