YouTube Analytics
Enables AI clients to access and query live YouTube Analytics data through a Model Context Protocol (MCP) server.
About
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.
Key Features
- Provides a read-only Model Context Protocol (MCP) server
- Connects to YouTube Analytics data via CData JDBC Drivers
- Exposes YouTube Analytics data as relational SQL models
- Enables natural language querying of data through LLMs
- Offers standard MCP tools for data exploration (get_tables, get_columns, run_query)
- 0 GitHub stars
Use Cases
- Integrating YouTube Analytics into AI-powered applications for conversational data access
- Allowing AI clients, such as Claude Desktop, to retrieve live YouTube Analytics data using natural language
- Simplifying data retrieval from YouTube Analytics for AI-driven reporting or analysis
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