Enables AI clients to access and query live YouTube Analytics data through a Model Context Protocol (MCP) server.
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This software provides a read-only Model Context Protocol (MCP) server designed to bridge the gap between Large Language Models (LLMs) like Claude Desktop and live YouTube Analytics data. By wrapping the CData JDBC Driver for YouTube Analytics, it exposes complex analytics data as relational SQL models. This allows LLMs to retrieve real-time information using natural language questions, eliminating the need for direct SQL queries and simplifying data access and integration for AI-powered applications.
主要功能
01Provides a read-only Model Context Protocol (MCP) server
02Connects to YouTube Analytics data via CData JDBC Drivers
03Exposes YouTube Analytics data as relational SQL models
04Enables natural language querying of data through LLMs
05Offers standard MCP tools for data exploration (get_tables, get_columns, run_query)
060 GitHub stars
使用案例
01Integrating YouTube Analytics into AI-powered applications for conversational data access
02Allowing AI clients, such as Claude Desktop, to retrieve live YouTube Analytics data using natural language
03Simplifying data retrieval from YouTube Analytics for AI-driven reporting or analysis
