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"Redash: Open-source Data Visualization and Query Tool" matching MCP servers:

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    Enables creating interactive data visualizations from natural language queries using DuckDB for local databases or Databricks for enterprise data warehouses. Supports multiple chart types, CSV imports, SQL queries, and automatic statistical analysis through Claude Desktop.
    19
    MIT
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    quality
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    Multi-datasource MCP server that connects AI assistants to 6 database types (MySQL, PostgreSQL, ClickHouse, MongoDB, SQLite, Huawei DWS) with dynamic configuration, encrypted credential storage, and schema discovery.
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    An MCP server that lets an LLM query a DuckDB warehouse of EuroLeague and EuroCup basketball data in natural language, offering tools for player and team stats, shot charts, boxscores, and fantasy draft analysis without contacting upstream APIs.
    13
    MIT
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    quality
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    MCP server that connects Redash to Claude AI, enabling natural language data queries, dashboard management, and SQL execution.
    24
    600
    1
    MIT
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    Model Context Protocol (MCP) server that integrates Redash with AI assistants like Claude, allowing them to query data, manage visualizations, and interact with dashboards through natural language.
    67
    7,005
    99
    MIT
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    Enables interaction with Redash instances through a standardized interface, allowing users to execute SQL queries, manage data sources, and retrieve query results using natural language.
    4
    600
    MIT
  • F
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    Enables interaction with Redash through its API to execute SQL queries, retrieve results, and manage data sources. It allows users to query data and explore data sources directly through natural language interfaces.
    3
    4
  • F
    license
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    quality
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    Read-only MCP server wrapping the Redash REST API, enabling query listing, execution, data source inspection, and dashboard retrieval with optional per-user API key support.
    7
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    An MCP server that gives an AI agent scoped, safe access to your Postgres databases with per-connection access control, row caps, timeouts, and defense-in-depth read-only enforcement.
  • F
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    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.
  • A
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    Enables AI agents to search and discover data across SQLite and CSV sources through an MCP interface, with metadata indexing and fuzzy search capabilities.
    MIT
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    MCP server that connects AI assistants to Redash, enabling listing of assets, read-only query execution, dashboard inspection, and alert management through the Redash API.
    MIT
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    quality
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    Enables executing SQL queries, exploring database schemas, and exporting results from Redash via MCP, with ad-hoc queries and write protection.
    13
    MIT
  • A
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    quality
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    MCP server to query public open data from Recife, Brazil using natural language. It exposes tools for schema exploration and SQL query generation via Gemini 2.5 Flash, backed by a local DuckDB database.
    1
    MIT
  • F
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    A
    quality
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    Enables AI agents to read and optionally write to PostgreSQL databases through a multi-project setup with schema inspection, query execution, and performance analysis tools.
    5
  • F
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    Enables querying and analyzing user, product, and order data with filtering capabilities and real-time statistics. Supports WebSocket connections to XiaoZhi AI platform with automatic reconnection.
  • F
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    Enables local data discovery by indexing metadata from SQLite, CSV, and Markdown sources, providing hybrid keyword and TF-IDF semantic search via MCP tools (listSources, indexSource, search, getSchema) and a REST API.