DuckDB▌

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.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
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
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)
- Input:
[!NOTE] The server provides a single unified
queryfunction 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
readonlymode, 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
--readonlyis 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.
- The DuckDB database will be opened with
- Reference: For more details on read-only connections in DuckDB, see the DuckDB Python API documentation.
- Description: When this flag is set, the server operates in read-only mode. This means:
- --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.dbshould be replaced with the actual path to the DuckDB database file.
Development
Prerequisites
- Python with
uvpackage 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
- 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
- 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.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★40 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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