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 (/stock): Analyzes the strength of stock concept sectors based on fund flow and price change.
Finance Tools (/finance): Provides access to stock financial core indicators and company information.
Stock F10 Tools (/f10): Fetches and summarizes Stock F10 information.
Market Emotion Tools (/market): Retrieves and summarizes A-share market emotion indicators.
Stock Keep Up Tools (/stockUp): Provides lists of continuous limit-up stocks and limit-up stocks.
Web Search Tools (Tavily) (/websearch): Provides a web search tool.

Setup and Installation

Clone the repository:

git clone <repository_url>
cd mcp_stock

Create a virtual environment (recommended):

python -m venv venv
source venv/bin/activate

Install dependencies:

Install the required packages using pip:
```
pip install -r requirements.txt
playwright install
```
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=
```
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.