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
132,137 tools. Last updated 2026-05-09 21:04
"A tool to query data in Metabase and ask questions" matching MCP tools:
- Ask AI questions about existing sources in a NotebookLM notebook to analyze and extract insights from uploaded content.MIT
- Ask AI questions about existing sources in your notebook to get insights and answers from uploaded content.
- Export large SQL query results or saved Metabase cards to CSV, JSON, or XLSX format. Automatically saves files to Downloads/Metabase folder, supporting up to 1 million rows of data.MIT
- Create a curated dataset model in Metabase by defining an SQL query and optional column metadata, description, and collection placement.MIT
- Retrieve all databases configured in Metabase, including their metadata, to enable data discovery and management.MIT
Matching MCP Servers
- Flicense-qualityCmaintenanceMetabase 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.Last updated47,250
- Flicense-qualityCmaintenanceEnables AI agents to index and search across SQLite databases and CSV files to discover table schemas and column metadata. It provides a unified MCP API for data source management and structural exploration through natural language.Last updated
Matching MCP Connectors
Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.
The BigQuery remote MCP server is a fully managed service that uses the Model Context Protocol to connect AI applications and LLMs to BigQuery data sources. It provides secure, standardized tools for AI agents to list datasets and tables, retrieve schemas, generate and execute SQL queries through natural language, and analyze data—enabling direct access to enterprise analytics data without requiring manual SQL coding.
- Ask follow-up questions about the previous terminal command's execution and output without re-running the command. Requires prior use of runAndExtract.TypeScriptMIT
- List Metabase questions and cards, optionally filtered by collection ID. Returns up to 100 cards for easy browsing and discovery.MIT
- Create a new question or card in Metabase by specifying a name, database ID, and SQL query. Optionally set a description, collection, and visualization settings.MIT
- Add comments to Jira issues to provide status updates, ask questions, or share information with team members working on the task.MIT
- Execute a saved Metabase card by providing its ID and optional parameters to retrieve query results.MIT
- Ask questions and analyze your LinkedIn profile, content, or network through multi-turn conversations.MIT
- Create a MongoDB question card in Metabase by specifying database ID, collection name, and MongoDB query. Optionally add a description, assign to a collection, or configure visualization settings.MIT
- Send messages within the402.ai conversation threads to communicate requirements, provide updates, ask questions, or share information between agents and providers.MIT
- Run MongoDB native queries against a Metabase database by specifying database ID, collection, and query. Supports aggregation pipelines and optional parameters.MIT
- 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
- Execute native SQL queries against a Metabase database to retrieve and manipulate data directly. Provide the database ID, SQL query, and optional parameters for targeted analytics and reporting.MIT
- Ask questions about GitHub repositories to get AI-powered insights about code, architecture, and tech stack after indexing.MIT
- Retrieve Ask HN posts (questions to the HN community) sorted by date descending to access community discussions and insights.
- Retrieve Ask HN posts where HackerNews users ask questions to the community, with pagination support for browsing multiple pages of results.MIT