What is Mcp Stock

mcp_stock is a server built using the FastMCP framework that provides various tools for accessing and analyzing stock market data.

Use cases

Use cases include analyzing stock trends, evaluating company financial health, monitoring market sentiment, and identifying stocks with significant price movements.

How to use

To use mcp_stock, clone the repository, set up a virtual environment, install dependencies, configure necessary API keys, and run the server using the provided commands.

Key features

Key features include tools for analyzing stock concept sectors, accessing financial indicators, fetching Stock F10 information, summarizing market emotion indicators, providing lists of limit-up stocks, and offering a web search tool.

Where to use

mcp_stock can be used in finance and investment sectors, particularly for stock market analysis and decision-making.

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

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.