KospiKosdaqStockServer MCP Server: Comprehensive Data Integration for AI Applications

Overview: What is KospiKosdaqStockServer MCP Server?

The KospiKosdaqStockServer MCP server provides data services for KOSPI and KOSDAQ stocks, enabling AI applications to access real-time and historical financial data using the Model Context Protocol (MCP). This server offers a standardized interface that allows integration with various AI tools and platforms, enhancing their capabilities through seamless data exchange.

🔧 Core Features & MCP Capabilities

The KospiKosdaqStockServer MCP server supports a wide range of features essential for financial analysts, researchers, and data scientists. These include:

Lookup ticker symbols: Quickly find and verify stock tickers.
OHLCV Data Retrieval: Fetch historical Open-High-Low-Close-Volume (OHLCV) stock price data through specified date ranges.
Market Capitalization Data: Access market capitalization values over time.
Fundamental Data Analysis: Obtain key metrics such as P/E Ratio, P/B Ratio, and Dividend Yield for specific stocks.
Trading Volume Analytics: Analyze trading volumes split by different investor types.

Each feature is implemented using FastMCP, a high-performance framework designed to facilitate rapid data processing and analysis. By leveraging MCP, this server ensures compatibility with multiple AI clients while optimizing performance through efficient protocol handling.

⚙️ MCP Architecture & Protocol Implementation

The KospiKosdaqStockServer is architected to adhere strictly to MCP standards, ensuring seamless integration between the server and various AI clients. It operates over TCP/IP networks, allowing both local and remote access for querying stock data.

Graphical Representation of Protocol Flow

graph LR
    A[AI Application] -->|MCP Client| B[MCP Protocol]
    B --> C[MCP Server]
    C --> D[Data Source/Tool]
    style A fill:#e1f5fe
    style C fill:#f3e5f5
    style D fill:#e8f5e8

Graphical Representation of Data Architecture

graph TD
    A[Stock Ticker Lookup] --> B[OHLCV Data Retrieval]
    B --> C[Market Capitalization Data Retrieve]
    C --> D[Fundamental Data Analysis]
    D --> E[Trading Volume Analytics]
    style A fill:#e1f5fe
    style B fill:#f3e5f5
    style C fill:#e8f5e8
    style D fill:#ddebff
    style E fill:#f2e5e5

🚀 Getting Started with Installation

Installing via Smithery

To install KospiKosdaqStockServer for Claude Desktop automatically, you can use Smithery:

npx -y @smithery/cli install @dragon1086/kospi-kosdaq-stock-server --client claude

Manual Installation

For manual installation, follow these steps:

Create and Activate a Virtual Environment:

uv venv .venv
source .venv/bin/activate  # On Unix/macOS

Install the Package:

uv pip install kospi-kosdaq-stock-server

💡 Key Use Cases in AI Workflows

Real-time Trading Analysis

AI applications can use this server to fetch real-time and historical stock prices, enabling advanced analytics for traders. For example, an algorithmic trading system could set up regular queries to update its position based on market trends.

# Example: Fetching OHLCV data for a specific ticker
def get_stock_data(fromdate='2024-01-01', todate='2024-02-28', ticker='005930', adjusted=True):
    # Implementation using KospiKosdaqStockServer's API

Portfolio Management

Investment managers can use this server to perform portfolio valuation and performance analysis. By integrating real-time stock data, they can dynamically adjust their portfolios based on market movements.

# Example: Evaluating portfolio performance
def evaluate_portfolio(tickers=['005930', '035720'], fromdate='2024-01-01', todate='2024-02-28'):
    # Implementation using KospiKosdaqStockServer's API and fundamental data

🔌 Integration with MCP Clients

The KospiKosdaqStockServer supports compatibility across various MCP clients, including:

MCP Client	Resources	Tools	Prompts
Claude Desktop	✅	✅	✅
Continue	✅	✅	✅
Cursor	❌	✅	❌

MCP Configuration Code Sample

Here’s an example of how to configure the server in your claude_desktop_config.json file:

{
  "mcpServers": {
    "kospi-kosdaq": {
      "command": "uvx",
      "args": ["kospi_kosdaq_stock_server"]
    }
  }
}

📊 Performance & Compatibility Matrix

The KospiKosdaqStockServer ensures robust compatibility and performance across various environments:

Support for macOS, Windows, and Linux operating systems.
Compatible with multiple Python versions (3.9+).
Optimized for high-frequency requests with minimal latency.

🛠️ Advanced Configuration & Security

For advanced users, the server allows custom configuration through environment variables. This ensures secure access control and fine-tuning of performance parameters.

# Example configuration snippet
API_KEY=your_api_key_here

Secure Environments

Ensure that sensitive information like API keys are stored securely using environment variable or secret management tools to enhance security.

✨ Frequently Asked Questions (FAQ)

Q: How do I update the stock data? A: You can schedule periodic queries using a cron job or task scheduler to ensure your data is always up-to-date.
Q: Can this server handle high-frequency trading requests? A: Yes, it supports high-frequency trading with low latency by optimizing network protocols and reducing processing times.
Q: What operating systems are compatible? A: The server works on macOS, Windows, and Linux platforms.
Q: How can I manage multiple stock sources? A: By configuring additional MCP servers in the claude_desktop_config.json, you can integrate support for other stock data providers.
Q: Is there any support for custom metrics or indicators? A: While the server provides standard metrics, it can be extended to include custom indicators through plugin mechanisms.

👨‍💻 Development & Contribution Guidelines

Contributions are welcome! Developers can join GitHub by cloning the repository and submitting pull requests. For more details on setting up your development environment, see the CONTRIBUTING.md file within the project documentation.

🌐 MCP Ecosystem & Resources

Explore a growing ecosystem of MCP servers and clients that support various data sources and tools:

GitHub Repository: https://github.com/dragon1086/kospi-kosdaq-stock-server
Documentation: Comprehensive guides and tutorials for integrating MCP servers.
Community Forum: Join the community to discuss integration challenges, share best practices, and collaborate on new projects.

This comprehensive documentation positions the KospiKosdaqStockServer as a robust and valuable asset for developers building AI applications that require seamless data integration.

kospi-kosdaq-stock-server