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783,650 tools. Updated 2026-11-15 01:39

"A tool to query data in Metabase and ask questions" matching MCP tools:

  • Search existing questions and verified fixes by query, tool name, or failure type before troubleshooting tool errors, auth issues, loops, schema mismatches, or timeouts yourself.
    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 to a project's survey panel filtered by demographics and survey answers using natural language, enabling targeted research insights.
    MIT

Matching MCP Servers

  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables 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.
    MIT
  • F
    license
    Not graded
    quality
    B
    maintenance
    Metabase 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.
    50,320
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Matching MCP Connectors

  • Ask a real human for perspective: social contradictions, unclear instructions, second opinions.

  • Ask AIOAuth

    Ask questions across Shopify, Klaviyo, GA4 and 20+ e-commerce sources in plain English.

  • 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
  • Check if the server is configured and what settings are saved. Call it first; if unconfigured, ask the returned questions before any content tool will run.
    MIT
  • Ask targeted questions anchored to specific file text in an active review, and get user replies to resolve ambiguity before continuing edits.
    MIT
  • Get oriented in an unfamiliar NotebookLM notebook: generate an AI overview, source coverage summary, and suggested questions to ask.
    MIT
  • Retrieve Metabase card details and SQL queries by ID to analyze question construction and understand underlying data logic.
    ISC
  • 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 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 Metabase cards and questions with filtering options to discover available data visualizations, find specific card types, or view all questions in your system.
    ISC
  • Retrieve all saved questions and cards from Metabase with their metadata. Use this to access an overview of your analytics assets for inventory, auditing, or automation.
    MIT