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qualityMCP Server for interacting with Cube semantic layers that provides tools for querying and describing data from Cube deployments.
Last updated -
2
Python
GPL 3.0
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Why this server?
Provides tools for querying and describing data from Cube deployments, which involves querying and understanding data structures, effectively 'generating' insights or metrics.
Why this server?
Enables running SQL queries and automatically generating business insight memos, which can be considered as generated metrics from data.
Why this server?
Supports multi-round conversations and provides plug-and-play ChatBI capabilities, which include generating intelligent data queries based on user input.
Why this server?
Enables LLMs to inspect database schemas and execute queries, implying the ability to derive metrics from data within BigQuery.
Why this server?
Analyzes retail data, optimizes inventory, and forecasts sales using AI-powered insights, essentially generating key supply chain metrics.
Why this server?
Enables SQL query execution, database management, and business intelligence capabilities through MySQL connections, suggesting the generation of data-driven metrics.
Why this server?
Enables form response handling and analytics, implying the generation of insights from collected data.
Why this server?
Provides access to market news, stock market data, basic financials, and recommendation trends for specific stocks, useful for generating financial metrics.
Why this server?
Provides access to error reporting and real user monitoring applications, which can be used to generate performance and stability metrics.
Why this server?
Facilitates the extraction and analysis of marketing insights and audience data, useful for generating marketing performance metrics.