databasesanalytics-data

DuckDB

ktanaka101

by ktanaka101

Execute SQL queries and analyze data efficiently in DuckDB databases. Unlock powerful analytics with DuckDB.

Execute SQL queries and analyze data in DuckDB databases.

github stars

173

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Single unified query interfaceRead-only mode for data protectionLocal analysis optimized

best for

  • / Data analysts working with local datasets
  • / Developers prototyping SQL queries
  • / Local data exploration and analysis
  • / ETL pipeline development

capabilities

  • / Execute SQL queries on DuckDB databases
  • / Create and modify database tables
  • / Inspect database schemas
  • / Analyze local data files
  • / Perform joins and aggregations
  • / Run data transformations

what it does

Executes SQL queries and analyzes data in DuckDB databases through a single unified query interface. Supports both read-only and read-write modes for local data analysis.

about

DuckDB is a community-built MCP server published by ktanaka101 that provides AI assistants with tools and capabilities via the Model Context Protocol. Execute SQL queries and analyze data efficiently in DuckDB databases. Unlock powerful analytics with DuckDB. It is categorized under databases, analytics data.

how to install

You can install DuckDB in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

DuckDB is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

mcp-server-duckdb

PyPI - Version PyPI - License smithery badge

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.

<a href="https://glama.ai/mcp/servers/fwggl49w22"><img width="380" height="200" src="https://glama.ai/mcp/servers/fwggl49w22/badge" alt="mcp-server-duckdb MCP server" /></a>

Overview

This server enables interaction with a DuckDB database through the Model Context Protocol, allowing for database operations like querying, table creation, and schema inspection.

Components

Resources

Currently, no custom resources are implemented.

Prompts

Currently, no custom prompts are implemented.

Tools

The server implements the following database interaction tool:

  • query: Execute any SQL query on the DuckDB database
    • Input: query (string) - Any valid DuckDB SQL statement
    • Output: Query results as text (or success message for operations like CREATE/INSERT)

[!NOTE] The server provides a single unified query function rather than separate specialized functions, as modern LLMs can generate appropriate SQL for any database operation (SELECT, CREATE TABLE, JOIN, etc.) without requiring separate endpoints.

[!NOTE] When the server is running in readonly mode, DuckDB's native readonly protection is enforced. This ensures that the Language Model (LLM) cannot perform any write operations (CREATE, INSERT, UPDATE, DELETE), maintaining data integrity and preventing unintended changes.

Configuration

Required Parameters

  • db-path (string): Path to the DuckDB database file
    • The server will automatically create the database file and parent directories if they don't exist
    • If --readonly is specified and the database file doesn't exist, the server will fail to start with an error

Optional Parameters

  • --readonly: Run server in read-only mode (default: false)
    • Description: When this flag is set, the server operates in read-only mode. This means:
      • The DuckDB database will be opened with read_only=True, preventing any write operations.
      • If the specified database file does not exist, it will not be created.
      • Security Benefit: Prevents the Language Model (LLM) from performing any write operations, ensuring that the database remains unaltered.
    • Reference: For more details on read-only connections in DuckDB, see the DuckDB Python API documentation.
  • --keep-connection: Re-uses a single DuckDB connection mode (default: false)
    • Description: When this flag is set, Re-uses a single DuckDB connection for the entire server lifetime. Enables TEMP objects & slightly faster queries, but can hold an exclusive lock on the file.

Installation

Installing via Smithery

To install DuckDB Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install mcp-server-duckdb --client claude

Claude Desktop Integration

Configure the MCP server in Claude Desktop's configuration file:

MacOS

Location: ~/Library/Application Support/Claude/claude_desktop_config.json

Windows

Location: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "duckdb": {
      "command": "uvx",
      "args": [
        "mcp-server-duckdb",
        "--db-path",
        "~/mcp-server-duckdb/data/data.db"
      ]
    }
  }
}
  • Note: ~/mcp-server-duckdb/data/data.db should be replaced with the actual path to the DuckDB database file.

Development

Prerequisites

  • Python with uv package manager
  • DuckDB Python package
  • MCP server dependencies

Debugging

Debugging MCP servers can be challenging due to their stdio-based communication. We recommend using the MCP Inspector for the best debugging experience.

Using MCP Inspector

  1. Install the inspector using npm:
npx @modelcontextprotocol/inspector uv --directory ~/codes/mcp-server-duckdb run mcp-server-duckdb --db-path ~/mcp-server-duckdb/data/data.db
  1. Open the provided URL in your browser to access the debugging interface

The inspector provides visibility into:

  • Request/response communication
  • Tool execution
  • Server state
  • Error messages

FAQ

What is the DuckDB MCP server?
DuckDB is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for DuckDB?
This profile displays 40 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Use Cases

Direct Database Queries from AI

Enable Claude to query your database directly using natural language

Example

Ask 'Show me top 10 customers by revenue this month' and get SQL results instantly

Eliminate manual SQL writing for ad-hoc queries, get insights 10x faster

Data Analysis & Reporting

Generate complex reports and analytics without leaving conversation

Example

Analyze sales trends, cohort retention, user behavior patterns conversationally

Democratize data access—non-technical team members can query databases

Schema Exploration

Understand database structure, relationships, and data models

Example

'Explain the user_orders table schema and its relationships'

Onboard engineers faster, explore unfamiliar databases efficiently

Data Validation & Quality Checks

Run data quality queries to catch anomalies and inconsistencies

Example

Find duplicate records, missing values, orphaned foreign keys automatically

Maintain data integrity with less manual SQL work

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor with MCP support
  • Database credentials (read-only recommended for safety)
  • Network access from Claude client to database
  • Understanding of database security and access control

Time Estimate

15-30 minutes including configuration and testing

Installation Steps

  1. 1.Install MCP server: npm install -g @modelcontextprotocol/server-[name]
  2. 2.Configure database connection in Claude Desktop config (~/.claude/mcp.json)
  3. 3.Provide connection string: host, port, database, username, password
  4. 4.Restart Claude Desktop to load MCP server
  5. 5.Test connection: 'List all tables in database'
  6. 6.Run simple query: 'Show me 5 rows from users table'
  7. 7.Verify results and permissions are correct
  8. 8.Document query patterns for team use

Troubleshooting

  • Connection refused: Check database is running and network accessible
  • Authentication failed: Verify credentials, check user permissions
  • Claude can't see tables: Grant appropriate read permissions to database user
  • Slow queries: Add indexes, limit result set size, use read replicas
  • MCP server not loading: Check config syntax, restart Claude Desktop

Best Practices

✓ Do

  • +Use read-only database credentials to prevent accidental writes
  • +Connect to read replica, not production primary database
  • +Set query timeout limits to prevent long-running queries
  • +Document database schema and common queries for AI context
  • +Monitor query performance and optimize slow queries
  • +Use connection pooling for better performance
  • +Test with non-production data first

✗ Don't

  • Don't use production write credentials—risk of data corruption
  • Don't query production database during peak traffic hours
  • Don't expose sensitive PII without proper access controls
  • Don't skip query result validation—AI can misinterpret schema
  • Don't allow unlimited result set sizes—set LIMIT clauses
  • Don't share database credentials in plain text config files

💡 Pro Tips

  • Create database views for common queries to simplify AI access
  • Add schema comments/descriptions so AI understands column meanings
  • Use semantic table/column names ('customer_lifetime_value' not 'clv')
  • Set up query logging to audit what Claude is querying
  • Create saved query templates for recurring analysis
  • Combine with data visualization tools for better insights

Technical Details

Architecture

MCP server acts as bridge between Claude and database, translating natural language to SQL queries and returning results in structured format.

Protocols

  • Model Context Protocol (MCP)
  • Database-specific protocols (PostgreSQL, MySQL, MongoDB)

Compatibility

  • PostgreSQL
  • MySQL
  • SQLite
  • MongoDB
  • Redis

When to Use This

✓ Use When

Use for ad-hoc data queries, exploratory analysis, report generation, schema exploration, and democratizing data access. Best for read-heavy analytics workloads.

✗ Avoid When

Avoid for production write operations, mission-critical transactions, real-time OLTP workloads, or when database contains sensitive PII without proper access controls. Use read replicas, not primary.

Integration

  • Read replica connection for analytics queries
  • Database view layer to abstract complex joins
  • Query result caching for repeated questions
  • Audit logging of all AI-generated queries

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.640 reviews
  • Kaira Perez· Dec 20, 2024

    DuckDB is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Nia Farah· Dec 8, 2024

    Strong directory entry: DuckDB surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Alexander Srinivasan· Dec 4, 2024

    DuckDB has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Carlos Gill· Nov 27, 2024

    I recommend DuckDB for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Alexander Iyer· Nov 23, 2024

    According to our notes, DuckDB benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Carlos Agarwal· Nov 11, 2024

    DuckDB is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Carlos Bansal· Oct 18, 2024

    We evaluated DuckDB against two servers with overlapping tools; this profile had the clearer scope statement.

  • Alexander Gill· Oct 14, 2024

    DuckDB is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Sofia Agarwal· Oct 2, 2024

    According to our notes, DuckDB benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Valentina Kapoor· Sep 25, 2024

    DuckDB reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

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