SET-MCP

SET-MCP is a Python package that provides tools for serving Model Context Protocol which can access the Securities Exchange of Thailand (SET). It allows AI agents to retrieve comprehensive financial statements including income statements, balance sheets, and cash flow statements for listed companies.

Features

• Retrieve financial statements for SET-listed companies

• Support for multiple financial statement types:

  • Income Statement

  • Balance Sheet

  • Cash Flow Statement

• Historical data retrieval with customizable date ranges

• Command-line interface for easy integration

• FastMCP integration for enhanced functionality

Related MCP server: edgar-mcp

Installation

The package requires Python 3.11 or higher. You can install it using pip:

pip install set-mcp

Installing via Smithery

To install set-mcp for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install set-mcp --client claude

Usage

Command Line Interface

The package provides a command-line interface for easy access to financial data:

set-mcp --transport stdio

Using with uvx

Run

uvx set-mcp

Using with pipx

pipx install set-mcp
pipx run set-mcp

MCP.json example

{
    "mcpServers": {
      "set_mcp": {
        "command": "/path/to/bin/uvx", // Edit to your uvx path
        "args": [
            "set-mcp"
        ],
      }
    }
}

Vercel

Coming soon

Available options:

• --port: Port to listen on for SSE (default: 8000)

• --host: Host to listen on (default: 0.0.0.0)

• --transport: Transport type (choices: stdio, sse, default: stdio)

Note: SSE is not yet implemented

Python API

You can also use the package programmatically in your Python code:

from set_mcp import get_financial_statement

# Get financial statements for a specific company
result = await get_financial_statement(
    symbol="PTT",  # Company symbol
    from_year=2023,
    to_year=2024
)

Development

Setup Development Environment

1. Clone the repository:

git clone https://github.com/yourusername/set-mcp.git
cd set-mcp

2. Create and activate a virtual environment:

python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

3. Install development dependencies:

pip install -e ".[dev]"

Running Tests

python test_client.py

The output should be no error

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Author

• Prem Chotipanit (prem.ch@ku.th | prem.chotepanit@gmail.com)