Frequently Asked Questions (FAQ) about SSI Stock Data MCP Server and UBOS

Q: What is an MCP Server? A: MCP (Model Context Protocol) server acts as a bridge, allowing AI models to access and interact with external data sources and tools. It standardizes how applications provide context to Large Language Models (LLMs).

Q: What is the SSI Stock Data MCP Server? A: The SSI Stock Data MCP Server is a Model Context Protocol (MCP) server that provides AI assistants and tools with programmatic access to intraday stock data from the Vietnamese stock market via the SSI FastConnect API.

Q: What data does the SSI Stock Data MCP Server provide? A: The server provides a wide range of intraday stock data, including open, high, low, close, volume, and value information for individual stocks and composite indices.

Q: What is the SSI FastConnect API? A: The SSI FastConnect API is a service provided by SSI (Saigon Securities Incorporation) that allows programmatic access to Vietnamese stock market data.

Q: What is UBOS? A: UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. It helps you orchestrate AI Agents, connect them with enterprise data, build custom AI Agents with your LLM model and Multi-Agent Systems.

Q: How does UBOS integrate with the SSI Stock Data MCP Server? A: UBOS can connect to the SSI Stock Data MCP Server as a data source, allowing AI agents to access and analyze real-time stock data from the Vietnamese market.

Q: What are some use cases for the SSI Stock Data MCP Server and UBOS? A: Use cases include AI-powered trading bots, sentiment analysis of stock discussions, automated portfolio optimization, and risk management systems.

Q: Do I need coding experience to use UBOS? A: No, UBOS offers a low-code/no-code development environment that allows business users to build AI agents with minimal coding.

Q: How do I get started with the SSI Stock Data MCP Server and UBOS? A: 1. Register for SSI FastConnect. 2. Deploy the SSI Stock Data MCP Server. 3. Configure UBOS to connect to the MCP Server. 4. Design and deploy your AI agents.

Q: Where can I find documentation for the SSI Stock Data MCP Server? A: Documentation and setup instructions can be found on the GitHub repository: https://github.com/archiephan78/ssi-stock-mcp-server.

Q: What are the prerequisites for running the SSI Stock Data MCP Server? A: You need Python 3.12+, uv (or pip), Docker (optional), and registration for the SSI FastConnect service.

Q: How do I install the SSI Stock Data MCP Server for Claude Desktop? A: Use the following command: npx -y @smithery/cli install @archiephan78/ssi-stock-mcp-server --client claude.

Q: What tools are exposed by the MCP server? A: The MCP server exposes tools such as get_securities_list(), get_securities_details(), get_index_components(), get_index_list(), get_daily_ohlc(), get_intraday_ohlc(), get_daily_index(), and get_stock_price().