About
A Model Context Protocol server that exposes DuckDB database operations—querying, table creation, and schema inspection—to language models. It supports read‑only mode to protect data integrity.
Capabilities
The Ktanaka101 Mcp Server Duckdb is a lightweight, MCP‑compatible gateway that lets AI assistants like Claude interact with a local DuckDB database. By exposing standard SQL operations through MCP tools, it removes the need for developers to write custom connectors or manage database drivers manually. The server shines in scenarios where quick, on‑premise data exploration is required—such as analytics demos, rapid prototyping, or private data research—because DuckDB’s in‑process engine delivers high performance without a separate database server.
At its core, the server implements five intuitive tools that cover most everyday data tasks. read‑query allows LLMs to retrieve information with statements, while write‑query handles updates, inserts, and deletes. The create-table tool supports schema evolution on the fly, and list-tables + describe‑table give instant visibility into the database structure. A read‑only mode is available to lock the database against accidental writes, making it safe for environments where data integrity must be preserved. This mode automatically disables the write‑capable tools, ensuring that the LLM can only perform safe read operations.
Developers benefit from a plug‑and‑play integration: the server accepts a simple argument to point at any DuckDB file, creating it if necessary. When run with , the database is opened in a read‑only connection, adding an extra layer of security. Because MCP handles the communication protocol, any AI assistant that supports MCP can immediately start sending SQL commands without additional configuration.
Typical use cases include:
- Data analysis pipelines where an LLM generates exploratory queries and visualizes results.
- Chatbot back‑ends that need quick access to structured knowledge bases stored locally.
- Educational tools for teaching SQL by letting students ask an AI to perform queries on a sandbox database.
- Rapid prototyping of data‑driven features in new applications, allowing developers to test logic against a real database without deploying a full stack.
The server’s standout advantage lies in its minimal footprint and zero‑dependency requirement beyond DuckDB. It removes the friction of setting up a database server, lets developers focus on business logic, and ensures that AI assistants can safely read from or write to a local database with minimal risk.
Related Servers
MarkItDown MCP Server
Convert documents to Markdown for LLMs quickly and accurately
Context7 MCP
Real‑time, version‑specific code docs for LLMs
Playwright MCP
Browser automation via structured accessibility trees
BlenderMCP
Claude AI meets Blender for instant 3D creation
Pydantic AI
Build GenAI agents with Pydantic validation and observability
Chrome DevTools MCP
AI-powered Chrome automation and debugging
Weekly Views
Server Health
Information
Explore More Servers
Semrush MCP Server
Unlock Semrush data with Model Context Protocol
Readwise MCP Server
Access and query your Readwise highlights via MCP
Cron MCP Server
Schedule agent tasks and prompts with precision timing
SearXNG MCP Server
Meta‑search for AI agents with privacy and extensibility
Torobjo MCP Server
Fast, dual-mode product search and Instagram content analysis
MCP Zotero
Connect Claude to your Zotero library for seamless research.