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"DuckDB" matching MCP servers:

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    A Model Context Protocol (MCP) server implementation for DuckDB, providing database interaction capabilities through MCP tools. It would be interesting to have LLM analyze it. DuckDB is suitable for local analysis.
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    176
    MIT
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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.
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    MIT
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    Enables AI assistants to query Apache Iceberg tables on S3 via AWS Glue Data Catalog using DuckDB as the embedded query engine, supporting columnar Arrow reads with no data movement.
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    MIT
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    Enables LLMs to interact with DuckDB databases through MCP tools for SQL queries, table management, data import/export, and schema inspection, with optional read-only mode for safety.
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    Zero-config data quality monitoring as MCP tools. Profiles a warehouse (Postgres, BigQuery, Snowflake, MySQL, DuckDB), detects anomalies, and gates CI — read-only with the connection resolved server-side, never via the model.
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    MIT
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    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.
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    MIT
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    Data-first MCP server for reading and writing spreadsheets (.xlsx, .csv, .ods) - cell-level ops + DuckDB SQL engine.
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    MIT
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    Enables accessing and querying Dutch government open datasets from CBS and data.overheid.nl, with tools for searching, filtering, downloading, and analyzing data using CSV, Parquet, DuckDB, or Pandas.
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    10
    MIT
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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.
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    Apache 2.0
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    Open-source agentic schema layer. Define metrics once in YAML, query governed data from any warehouse (Snowflake, BigQuery, Databricks, PostgreSQL, DuckDB) via MCP.
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    27
    Apache 2.0
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    Enables querying and updating Markdown frontmatter metadata using DuckDB SQL, with optional semantic search capabilities for finding similar documents based on content.
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    1
    MIT