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

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.

Automatically routes natural language questions to RAG or Text2SQL paths to answer queries about virtual construction site data, supporting semantic search and structured aggregation.

A high-performance Model Context Protocol server for AI integration with Metabase analytics platforms. Features response optimization, robust error handling, and comprehensive data access tools.

Enables 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.

Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.

MCP server adapter that exposes A-share stock data tools, prompts, and resources via FastMCP, enabling querying of stocks, K-lines, financials, sectors, and market hot spots through natural language.

Enables AI agents to read-onlyly access Metabase instances, query databases using MBQL or SQL, explore schemas, run saved questions, and export data.

Query and manage Metabase dashboards, cards, and data via Claude

Enables AI agents to search and discover data across SQLite and CSV sources through an MCP interface, with metadata indexing and fuzzy search capabilities.

MCP server for Metabase that gives AI agents full access to query, explore, and manage content in your Metabase instance.

Enables AI assistants to answer questions about the operator's current focus, engagements, reusable patterns, availability, and service offerings, with responses grounded in structured data and including confidence labels and source citations.

Enables AI assistants to interact with Metabase by providing access to dashboards, questions, and databases through the Metabase API. It allows users to list resources, execute existing cards, and run custom SQL queries to retrieve data through natural language.

Enables AI assistants to query hundreds of models across OpenAI, Google, and OpenRouter, with model discovery, deep-research jobs, and image generation.

Enables LLMs to interact with Metabase instances through 33 tools for querying cards, dashboards, databases, collections, and executing SQL queries against your Metabase installation.

An MCP server that enables AI assistants to query databases, execute SQL, and manage Metabase resources like dashboards, cards, and collections through natural language.

Enables AI agents to search and read Metabase dashboards and cards, explore database schema, and run read-only query previews through the Model Context Protocol.

Official public, read-only Helena Bioinformatics MCP for source-cited answers about the company and its published products.

Enables AI assistants to interact with Metabase analytics platform, allowing them to query databases, manage dashboards, execute SQL queries, and organize collections through natural language.

Connect AI assistants to your Metabase analytics platform. Access dashboards, execute queries, and retrieve data seamlessly through conversational interfaces. Enhance your analytics experience with structured data access and robust error handling.

Enables AI assistants to interact with Metabase analytics platform, allowing them to query databases, manage dashboards and cards, execute SQL queries, and access analytics data through natural language.