MCP Toolbox for Databases

--- title: "looker-conversational-analytics" type: docs weight: 1 description: > The "looker-conversational-analytics" tool will use the Conversational Analaytics API to analyze data from Looker aliases: - /resources/tools/looker-conversational-analytics --- ## About A `looker-conversational-analytics` tool allows you to ask questions about your Looker data. It's compatible with the following sources: - [looker](../../sources/looker.md) `looker-conversational-analytics` accepts two parameters: 1. `user_query_with_context`: The question asked of the Conversational Analytics system. 2. `explore_references`: A list of one to five explores that can be queried to answer the question. The form of the entry is `[{"model": "model name", "explore": "explore name"}, ...]` ## Example ```yaml tools: ask_data_insights: kind: looker-conversational-analytics source: looker-source description: | Use this tool to ask questions about your data using the Looker Conversational Analytics API. You must provide a natural language query and a list of 1 to 5 model and explore combinations (e.g. [{'model': 'the_model', 'explore': 'the_explore'}]). Use the 'get_models' and 'get_explores' tools to discover available models and explores. ``` ## Reference | **field** | **type** | **required** | **description** | |-------------|:--------:|:------------:|----------------------------------------------------| | kind | string | true | Must be "lookerca-conversational-analytics". | | source | string | true | Name of the source the SQL should execute on. | | description | string | true | Description of the tool that is passed to the LLM. |