Table of Contents

• Table of Contents
• 1. Introduction
• 2. Features
• 3. Quickstart
  • 3.1. Prerequisites
  • 3.2. Local Run
  • 3.3. Docker Run
• 4. Tools
• 5. Development
• 6. License

1. Introduction

SSI Stock Data MCP is a Model Context Protocol (MCP) server for get VietNam stock intraday data. It enables AI assistants and tools to query intraday data using SSI FastConnect API programmatically and securely.

2. Features

• List of stock codes by exchange
• Retrieve detailed information of a stock code
• Retrieve the list of stock codes in an index basket
• Retrieve the list of index codes
• Retrieve the open, high, low, close, volume, and value information of a stock code by each tick data
• Retrieve the open, high, low, close, volume, and value information of a stock code by day
• Retrieve the daily trading results of the composite index
• Retrieve the daily trading information of a stock code
• Docker containerization support
• Support get realtime data via streaming adapter (planning)
• Support order management and trading via MCP (future consideration)

4. Tools

The MCP server exposes tools:

• Get securities list: get_securities_list()
• Get securities detail: get_securities_details()
• Get index: get_index_components()
• Get list index: get_index_list()
• Get daily open,high,low,close: get_daily_ohlc()
• Get intraday open,high,low,close: get_intraday_ohlc()
• Get daily index: get_daily_index()
• Get stock price: get_stock_price()

See src/ssi_stock_mcp_server/server.py for full API details.

5. Development

Contributions are welcome! Please open an issue or submit a pull request if you have any suggestions or improvements.

This project uses uv to manage dependencies. Install uv following the instructions for your platform.

# Clone the repository
$ git clone https://github.com/archiephan78/ssi-stock-mcp-server.git
$ uv venv
$ source .venv/bin/activate  # On Unix/macOS
$ .venv\Scripts\activate     # On Windows
$ uv pip install -e .
# run test
$ pytest

6. License

Apache 2.0

Contact / Support

• Please open an issue on GitHub if you encounter any problems or need support.
• Email: n/a

3. Quickstart

3.1. Prerequisites

• Python 3.12+
• uv (for fast dependency management).
• Docker (optional, for containerized deployment).
• Ensure you register for SSI FastConnect service before running this MCP server. You can register at SSI FastConnect to get your consumer ID and secret.

Installing via Smithery

To install SSI Stock MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @archiephan78/ssi-stock-mcp-server --client claude

3.2. Local Run

• Clone the repository:

# Clone the repository
$ git clone https://github.com/archiephan78/ssi-stock-mcp-server.git

• Configure the environment variables

# Set environment variables (see .env.sample)
FC_DATA_URL=https://fc-data.ssi.com.vn/ #optional
FC_DATA_AUTH_TYPE=Bearer #optional
FC_DATA_CONSUMER_ID=your_consumer_id 
FC_DATA_CONSUMER_SECRET=your_consumer_secret  

• Add the server configuration to your client configuration file. For example, for Claude Desktop:

{
  "mcpServers": {
    "SSIStockMCPServer": {
      "command": "uv",
      "args": ["--directory", "full-path", "run", "ssi-stock-mcp-server"],
      "env": {
        "FC_DATA_CONSUMER_ID": "id",
        "FC_DATA_CONSUMER_SECRET": "id",
        "FC_DATA_URL": "https://fc-data.ssi.com.vn/",
        "FC_DATA_AUTH_TYPE": "Bearer"
      }
    }
  }
}

• Restart Claude Desktop to load new configuration.
• You can now ask Claude to interact with data using natual language:
  • "chỉ số VN30 hôm nay có gì hot không"
  • "get volume room ngoại đã bán của SSI hôm nay"
  • "so sánh vol của SSI với VND trong ngày hôm nay"
  • "total matchvol của SSI trong 1 tuần trở lại đây"

3.3. Docker Run

• Run it with pre-built image (or you can build it yourself):

$ docker run -p 8000:8000 
             -e FC_DATA_CONSUMER_ID=id 
             -e FC_DATA_CONSUMER_SECRET=id ghcr.io/archiephan78/ssi-stock-mcp-server

• Running with Docker in Claude Desktop:

{
  "mcpServers": {
    "SSIStockMCPServer": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-e", "FC_DATA_CONSUMER_ID",
        "-e", "FC_DATA_CONSUMER_SECRET",
        "ghcr.io/archiephan78/ssi-stock-mcp-server:latest"
      ],
      "env": {
        "FC_DATA_CONSUMER_ID": "your_username",
        "FC_DATA_CONSUMER_SECRET": "your_password"
      }
    }
  }
}

This configuration passes the environment variables from Claude Desktop to the Docker container by using the -e flag with just the variable name, and providing the actual values in the env object.