Which integrations are available for this server?

Used for storing and accessing API keys and configuration values through environment variables, particularly for the Tavily web search integration. Used for version control and distribution of the MCP server codebase, enabling users to clone and manage the project repository. Provides the runtime environment for the server, allowing access to stock market data analysis capabilities through various endpoints.

How do I use Stock Analysis MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Stock Analysis MCP Server analyze concept sector strength for tech stocks" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

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.

Related MCP server: Volume Wall Detector MCP

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.