mcp-server-duckdb
@ktanaka101
关于 mcp-server-duckdb
A Model Context Protocol (MCP) server implementation for DuckDB, providing database interaction capabilities
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-duckdb": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"mcp-server-duckdb",
"--client",
"claude"
]
}
}
}工具
1Execute any SQL query on the DuckDB database
概览
What is mcp-server-duckdb?
A Model Context Protocol (MCP) server that enables interaction with a DuckDB database through MCP tools, allowing LLMs to execute SQL queries, manage tables, and inspect schemas. It is designed for local data analysis.
How to use mcp-server-duckdb?
Install via Smithery or configure in Claude Desktop’s JSON file using uvx mcp-server-duckdb --db-path <path>. Optionally add --readonly or --keep-connection flags. The server accepts a single required parameter db-path and two optional flags.
Key features of mcp-server-duckdb
- Execute any SQL query via a single unified
querytool. - Optional read‑only mode using DuckDB’s native protection.
- Optional persistent connection for TEMP objects and faster queries.
- Auto‑creates database file and parent directories (unless readonly).
- Integrates with MCP for LLM‑driven database interaction.
Use cases of mcp-server-duckdb
- LLM‑powered exploratory analysis on local DuckDB files.
- Automated table creation, schema inspection, and data insertion.
- Read‑only query access for security‑sensitive environments.
- Seamless integration with AI assistants for database operations.
FAQ from mcp-server-duckdb
How does read‑only mode differ from read‑write?
In read‑only mode the DuckDB database is opened with read_only=True, preventing any write operations (CREATE, INSERT, UPDATE, DELETE) and refusing to create missing database files. Read‑write mode allows full SQL and auto‑creates missing files.
What are the runtime requirements?
Python with the uv package manager, the DuckDB Python package, and MCP server dependencies.
Where is the database file stored?
The path is specified by the user via the --db-path argument. The server creates the file and any needed parent directories unless --readonly is used and the file does not exist.
Does the server offer separate tools for different operations?
No, it provides a single unified query tool. The LLM generates appropriate SQL for any operation (SELECT, CREATE, INSERT, etc.) without requiring separate endpoints.
What transport does the server use?
It uses stdio-based communication, typical of MCP servers. Debugging is recommended with the MCP Inspector, which can be launched via npx @modelcontextprotocol/inspector.
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