Frequently Asked Questions about 双色球数据爬虫 MCP 服务

Q: What is the 双色球数据爬虫 MCP 服务? A: It is a Model Context Protocol (MCP) server that provides access to historical 双色球 (Double-Color Ball) lottery data, enabling analysis of trends and patterns.

Q: What data can I retrieve with this MCP server? A: You can retrieve recent lottery data, data by specific issue ranges, and data for a specific issue number. The data includes issue number, red balls, blue ball, and draw date.

Q: What kind of analysis can I perform with this service? A: You can perform frequency analysis to identify how often numbers appear and missing period analysis to see how long it’s been since a number was drawn.

Q: How do I install the 双色球数据爬虫 MCP 服务? A: You can install it directly from GitHub using pip or from the source code after cloning the repository. Detailed instructions are provided in the overview.

Q: Can I use a proxy with this MCP server? A: Yes, the service supports proxy configuration. You can modify the config.json file to set up a proxy server.

Q: What is the UBOS platform and how does this MCP server integrate with it? A: UBOS is a full-stack AI Agent Development Platform. This MCP server can be integrated to facilitate lottery data analysis into your AI agent workflows.

Q: What are the system requirements for running this MCP server? A: You need Python 3.10 or higher and the dependencies listed in the setup.py file.

Q: What license is this project released under? A: The project is released under the MIT License.

Q: How do I configure the MCP server to use with UBOS? A: You need to add the specified configuration to your mcp_settings.json file, as shown in the documentation.

Q: What is MCP (Model Context Protocol)? A: MCP is an open protocol that standardizes how applications provide context to LLMs, enabling AI models to access external data sources and tools.