mcp-server-duckdb
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[](https://fastmcp.me/MCP/Details/616/duckdb)
[](https://fastmcp.me/MCP/Details/616/duckdb)
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[](https://fastmcp.me/MCP/Details/616/duckdb)
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# mcp-server-duckdb
[](https://pypi.org/project/mcp-server-duckdb/)
[](LICENSE)
[](https://smithery.ai/server/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)
> [!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](https://duckdb.org/docs/api/python/dbapi.html#read_only-connections).
- **--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](https://smithery.ai/server/mcp-server-duckdb):
```bash
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`
```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](https://github.com/modelcontextprotocol/inspector) for the best debugging experience.
#### Using MCP Inspector
1. Install the inspector using npm:
```bash
npx @modelcontextprotocol/inspector uv --directory ~/codes/mcp-server-duckdb run mcp-server-duckdb --db-path ~/mcp-server-duckdb/data/data.db
```
2. 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
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusion between tools. The 'query' tool has a single, unambiguous purpose of executing DuckDB queries.
The single tool name 'query' is a clear, straightforward verb that accurately describes its function. With only one tool, naming consistency is trivially satisfied.
One tool is on the thin side for a full database server like DuckDB. While a generic query tool can cover many operations, it lacks typical helper tools (e.g., schema listing, table inspection) that agents might expect, making the count borderline.
The query tool can execute any SQL, enabling full CRUD and DDL operations, so there are no direct dead ends. However, there is no built-in schema discovery or validation, which is a minor gap that agents can work around via SQL queries against system tables.