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

  • F
    license
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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.
  • A
    license
    A
    quality
    B
    maintenance
    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
  • A
    license
    A
    quality
    A
    maintenance
    MCP server that connects Redash to Claude AI, enabling natural language data queries, dashboard management, and SQL execution.
    24
    600
    1
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables access to Hong Kong government's official open data portal (DATA.GOV.HK) through natural language queries. Supports searching datasets, browsing categories, and retrieving detailed information about Hong Kong's public data resources.
    8
    5
    MIT
  • F
    license
    B
    quality
    B
    maintenance
    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
  • A
    license
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    quality
    F
    maintenance
    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
  • F
    license
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    quality
    C
    maintenance
    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
    license
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    quality
    D
    maintenance
    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
    license
    A
    quality
    A
    maintenance
    Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.
    11
    122
    45
    Inno Setup
  • A
    license
    B
    quality
    A
    maintenance
    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
  • F
    license
    B
    quality
    C
    maintenance
    MCP server for answering questions about official statistics from a single publication URL, with tools to check query scope, retrieve overview, text, data files, and search.
    5
  • A
    license
    B
    quality
    D
    maintenance
    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
    license
    B
    quality
    D
    maintenance
    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
  • A
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    quality
    B
    maintenance
    Provides a semantic concept layer over financial/economic data from multiple sources, enabling users to query data by concept and entity with automatic source selection and failover.
    MIT
  • A
    license
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    quality
    B
    maintenance
    Enables researching, verifying, comparing, and composing open-source AI projects with transparent evidence and uncertainty boundaries through read-only tools.
    2
    Apache 2.0