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URL: https://glama.ai/mcp/servers/integrations/duckdb

⇱ DuckDB | Glama

  • Why this server?

    Allows running data quality validation rules against a DuckDB database, including completeness, uniqueness, and statistical checks.

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    Agentic data quality MCP server — runs structured validation rules against warehouses (DuckDB, BigQuery, Athena, Databricks, Postgres), diagnoses failures with LLM root cause analysis, and proposes SQL remediations. Full audit trail of every AI decision.
    Last updated
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    Apache 2.0

  • Why this server?

    Connects to DuckDB databases to run SQL queries and generate insights from the data

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    An open-source MCP server that connects to various data sources (SQL databases, CSV, Parquet files), allowing AI models to execute SQL queries and generate data visualizations for analytics and business intelligence.
    Last updated
    2
    12
    74
    MIT

  • Why this server?

    Provides SQL query execution and schema exploration capabilities for clinical datasets stored in DuckDB, including MIMIC-IV and eICU tabular data with tools for database schema inspection, table information retrieval, and SELECT query execution.

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    Query clinical datasets like MIMIC-IV and eICU with natural language, supporting both tabular EHR data and clinical notes through a unified interface.
    Last updated
    11
    33
    MIT

  • Why this server?

    Provides SQL analytics capabilities for querying local DuckDB databases, in-memory databases, and cloud-stored databases using DuckDB's SQL dialect.

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    Enables AI assistants and IDEs to execute SQL queries on local DuckDB databases, in-memory databases, or cloud-stored databases with support for flexible connections and configurable result limits.
    Last updated
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    1
    MIT

  • Why this server?

    Manages multi-tenant DuckDB databases with query execution, caching, and built-in UI.

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    MCP server for multi-tenant DuckDB management with R2/S3 cloud storage, enabling AI agents to manage per-user databases with automatic cloud persistence.
    Last updated
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    876
    MIT

  • Why this server?

    Supports working with DuckDB as a database backend for dbt projects, as shown in the profiles.yml example.

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    A Model Context Protocol (MCP) server that wraps the dbt CLI tool, enabling AI coding agents to interact with dbt projects through standardized MCP tools. Developed by Mammoth Growth.
    Last updated
    9
    18
    MIT

  • Why this server?

    Uses DuckDB as a local cache for high-performance SQL queries, statistical analysis, and geospatial operations on downloaded open data.

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    maintenance
    An MCP server for discovering, downloading, querying, and analyzing datasets from Ontario's open data portals, allowing natural language questions and high-performance analytics via DuckDB.
    Last updated
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    1
    MIT

  • Why this server?

    Uses DuckDB as the backend database for storing knowledge graph data, leveraging its fast query processing, SQL interface, and transaction support for efficient storage and retrieval of entities, observations, and relations.

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    A memory server for Claude that stores and retrieves knowledge graph data in DuckDB, enhancing performance and query capabilities for conversations with persistent user information.
    Last updated
    8
    13
    57
    MIT

  • Why this server?

    Uses DuckDB to query provider-level Medicaid claims data from local Parquet files, enabling high-performance analysis of HCPCS codes, NPI-specific spending, and service summaries.

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    Provides access to Medicaid public data including drug pricing (NADAC), state enrollment trends, federal upper limits, drug rebate information, and utilization statistics through a hybrid CSV caching and DKAN API approach.
    Last updated
    1
    2
    MIT