Stock Market MCP Server
Provides real-time stock quotes, search, time series data, and company overviews using Alpha Vantage API.
README
Stock Market MCP Server
A Model Context Protocol (MCP) server that provides real-time stock market data and analysis tools. This server integrates with Alpha Vantage API to fetch comprehensive stock information.
Features
- Real-time Stock Quotes: Get current stock prices, changes, and trading volume
- Stock Search: Search for stocks by company name or symbol
- Time Series Data: Retrieve historical daily stock data
- Company Overview: Get comprehensive company information and fundamentals
- Input Validation: Secure input validation and error handling
- TypeScript Support: Fully typed for better development experience
Prerequisites
Before installing this MCP server, make sure you have the following installed on your system:
Required Software
-
Node.js (version 18 or higher)
- Download from: https://nodejs.org/
- Verify installation:
node --version
-
npm (comes with Node.js)
- Verify installation:
npm --version
- Verify installation:
-
TypeScript (will be installed automatically)
- Global installation (optional):
npm install -g typescript
- Global installation (optional):
API Key Setup
You'll need a free API key from Alpha Vantage:
- Visit: https://www.alphavantage.co/support/#api-key
- Sign up for a free account
- Get your API key from the dashboard
Installation
Step 1: Clone or Download the Project
If you haven't already, navigate to your project directory:
cd "C:\Random Projects\stock-mcp"
Step 2: Install Dependencies
npm install
This will install all required packages:
@modelcontextprotocol/sdk- MCP SDKaxios- HTTP client for API callsdotenv- Environment variable managementtypescript- TypeScript compilertsx- TypeScript execution
Step 3: Set Up Environment Variables
- Copy the example environment file:
copy env.example .env
- Edit the
.envfile and add your Alpha Vantage API key:
ALPHA_VANTAGE_API_KEY=your_actual_api_key_here
Step 4: Build the Project
npm run build
Usage
Development Mode
Run the server in development mode with hot reload:
npm run dev
Production Mode
- Build the project:
npm run build
- Start the server:
npm start
Watch Mode
For development with automatic rebuilding:
npm run watch
Available Tools
The MCP server provides the following tools:
1. get_stock_quote
Get real-time stock quote for a given symbol.
Parameters:
symbol(string): Stock symbol (e.g., AAPL, MSFT, GOOGL)
Example:
{
"name": "get_stock_quote",
"arguments": {
"symbol": "AAPL"
}
}
2. search_stocks
Search for stocks by company name or symbol.
Parameters:
keywords(string): Search keywords (company name or symbol)
Example:
{
"name": "search_stocks",
"arguments": {
"keywords": "Apple"
}
}
3. get_daily_time_series
Get daily time series data for a stock.
Parameters:
symbol(string): Stock symboloutputSize(string, optional): "compact" (100 data points) or "full" (20+ years). Default: "compact"
Example:
{
"name": "get_daily_time_series",
"arguments": {
"symbol": "AAPL",
"outputSize": "compact"
}
}
4. get_company_overview
Get comprehensive company overview and fundamentals.
Parameters:
symbol(string): Stock symbol
Example:
{
"name": "get_company_overview",
"arguments": {
"symbol": "AAPL"
}
}
Configuration
Environment Variables
Create a .env file in the project root with the following variables:
# Required: Alpha Vantage API Key
ALPHA_VANTAGE_API_KEY=your_api_key_here
# Optional: Alternative API (for future use)
POLYGON_API_KEY=your_polygon_api_key_here
# Optional: Server Configuration
PORT=3000
NODE_ENV=development
API Limits
- Free Alpha Vantage Plan: 25 requests per day, 5 requests per minute
- Premium Plans: Higher limits available
- The server includes rate limiting handling and error messages
Troubleshooting
Common Issues
-
"API call frequency limit reached"
- You've exceeded the free API limit
- Wait for the limit to reset or upgrade your plan
-
"No data found for symbol"
- Check if the stock symbol is correct
- Some symbols may not be available in the API
-
"Network error"
- Check your internet connection
- Verify the API key is correct
-
Build errors
- Make sure Node.js version is 18 or higher
- Run
npm installto ensure all dependencies are installed
Debug Mode
Set the environment variable to enable debug logging:
NODE_ENV=development npm run dev
Project Structure
stock-mcp/
├── src/
│ ├── index.ts # Main MCP server entry point
│ ├── types.ts # TypeScript type definitions
│ ├── validation.ts # Input validation utilities
│ └── services/
│ └── stockApi.ts # Stock API service implementation
├── dist/ # Compiled JavaScript (after build)
├── package.json # Project dependencies and scripts
├── tsconfig.json # TypeScript configuration
├── env.example # Environment variables template
└── README.md # This file
Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests if applicable
- Submit a pull request
License
MIT License - see LICENSE file for details
Support
For issues and questions:
- Check the troubleshooting section above
- Verify your API key and network connection
- Check the Alpha Vantage API documentation: https://www.alphavantage.co/documentation/
Next Steps
After installation, you can:
- Test the server with sample requests
- Integrate it with your MCP client
- Customize the tools for your specific needs
- Add additional data sources or APIs
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。