Start an AI analysis chat for a study to explore research findings, ask follow-up questions, and generate new insights directly from participant session data.
MIT
533,935 tools. Updated 2026-09-08 11:29
"A tool to query data in Metabase and ask questions" matching MCP tools:
- Query your existing NotebookLM sources to get AI-powered answers grounded in your notes. Use for follow-up questions and deeper insights without searching for new sources.MIT
- Start an asynchronous notebook query to handle long or source-heavy questions. Returns a query ID immediately, so you can poll for results without waiting.MIT
- Ask natural-language questions about verified emissions data (Open Footprint / PPDM / OGMP-methane) to get accurate answers from knowledge graphs. Prefer specific questions for best results.Apache 2.0
- Ask questions to AI twins representing a specific target audience to gather research insights. Define the audience demographics and submit open-ended questions.MIT
- Ask questions that require Python code execution for calculations or data analysis, using Groq compound models to generate and run code in real time.MIT
Matching MCP Servers
- FlicenseNot gradedqualityDmaintenanceEnables AI models to ask users questions through a local web interface, supporting batch questions, multi-select, and free text for human-in-the-loop interactions.-
- FlicenseNot gradedqualityAmaintenanceMetabase includes a built-in Model Context Protocol (MCP) server that lets AI clients connect directly to a Metabase instance. It uses the Streamable HTTP transport and builds on Metabase's Agent API to expose tools for searching, exploring, querying, and visualizing data — all scoped to the connecting user's permissions.49,108-
Matching MCP Connectors
- Ask AIOAuth
Ask questions across Shopify, Klaviyo, GA4 and 20+ e-commerce sources in plain English.
Non-diagnostic child-development knowledge by Pinnacle Blooms: search, milestones, ICF crosswalk.
- Ask questions to a project's survey panel filtered by demographics and survey answers using natural language, enabling targeted research insights.MIT
- Ask questions about any GitHub repository and get AI answers with exact code snippets, file contents, and references. Supports follow-up queries and deep analysis for complex code.MIT
- Place structured outbound calls to venues to ask questions or gather info. Handles consent and mid-call answers when needed.MIT
- Query existing notebook sources to get AI answers based on previously added materials. Supports follow-up questions with conversation ID.MIT
- Ask questions about your database in plain English; get the SQL query, answer, and results. Supports follow-up context with conversation ID.MIT
- Ask targeted questions anchored to specific file text in an active review, and get user replies to resolve ambiguity before continuing edits.MIT
- Ask MiniMax-M3 for software engineering reasoning on code structure, data/control flow, architecture, and design trade-offs. Include code snippets or file paths in context for questions about existing code.MIT
- Ask AI questions about existing sources in your notebook to get insights and answers from uploaded content.-
- Ask AI questions about existing sources in your notebook to analyze content, get answers, and follow up on conversations using specific sources or all materials.MIT
- Ask AI questions about existing sources in a NotebookLM notebook to analyze and extract insights from uploaded content.MIT
- Ask crypto-market questions in natural language. The system classifies your query, retrieves relevant data, and returns a synthesized answer for multi-part or comparative questions.MIT
- Retrieve all saved questions and cards from Metabase, returning their metadata.MIT
- Discover available data sources in Metabase by retrieving all database connections, checking their status, and getting an overview of connected databases.MIT
- Retrieve full metadata and configuration for a Metabase card, including its query, visualization settings, collection, and permissions, to understand how it's built.MIT
- Create a curated dataset model in Metabase by defining an SQL query and optional column metadata, description, and collection placement.MIT