Mcp Server Motherduck
io.github.motherduckdb由 GitHub 账号 motherduckdb 发布v1.1.0更新于 Oct 24, 2026
SQL analytics and data engineering for AI Assistants and IDEs
概览
本地 MCP 服务器,将 AI 助手连接到 DuckDB 和 MotherDuck,使其能执行分析型 SQL、浏览目录并切换数据库。
- 可以做什么
- 对 DuckDB 或 MotherDuck 执行 SQL 查询,启用后可包含读写语句,结果以 JSON 返回,默认受行数和字符数上限限制。浏览数据库目录,列出数据库、表和视图,以及某个表或视图的列。在启用切换标志时,将当前数据库连接切换到其他本地文件、S3 路径或 MotherDuck 数据库。可跨本地与远程数据库查询,并通过本地文件系统导入或导出数据。
- 适用场景
- 当助手需要用 DuckDB 的 SQL 引擎分析数据、处理本地 DuckDB 文件、内存数据库或 MotherDuck,或在 IDE 与聊天客户端中执行数据工程查询时使用。这是本地版本;另有托管的 MotherDuck 远程服务器可免安装使用。
- 运行要求
- 以 Python 包形式通过 uvx 在本地运行,需先安装 uv。通过参数指定数据库路径:内存、绝对路径的本地文件、s3:// 地址或 MotherDuck 的 md:。MotherDuck 需要令牌,可通过 motherduck_token 或 MOTHERDUCK_TOKEN 变量或令牌参数提供;S3 访问需要 AWS_ACCESS_KEY_ID、AWS_SECRET_ACCESS_KEY,可选 AWS_SESSION_TOKEN、AWS_DEFAULT_REGION 和 AWS_ENDPOINT。DuckDB 使用 HOME 存放扩展和配置。
安装
在 SourceWeft 中
- 打开 控制台中的 Mcp Server Motherduck,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
[MotherDuck / DuckDB Local MCP Server]
DuckDB / MotherDuck Local MCP Server
SQL analytics and data engineering for AI Assistants and IDEs.
Connect AI assistants to your data using DuckDB's powerful analytical SQL engine. Supports connecting to local DuckDB files, in-memory databases, S3-hosted databases, and MotherDuck. Allows executing SQL read- and write-queries, browsing database catalogs, and switching between different database connections on-the-fly.
Looking for a fully-managed remote MCP server for MotherDuck? → Go to the MotherDuck Remote MCP docs
Remote vs Local MCP
Quick Start
Prerequisites: Install uv via pip install uv or brew install uv
Connecting to In-Memory DuckDB (Dev Mode)
Full flexibility with no guardrails — read-write access and the ability to switch to any database (local files, S3, or MotherDuck) at runtime.
Connecting to a Local DuckDB File in Read-Only Mode
Connects to a specific DuckDB file in read-only mode. Won't hold on to the file lock, so convenient to use alongside a write connection to the same DuckDB file. You can also connect to remote DuckDB files on S3 using s3://bucket/path.duckdb — see Environment Variables for S3 authentication. If you're considering third-party access to the MCP, see Securing for Production.
Connecting to MotherDuck in Read-Write Mode
See Command Line Parameters for more options, Securing for Production for deployment guidance, and Troubleshooting if you encounter issues.
Client Setup
Any MCP-compatible client can use this server. Add the JSON configuration from Quick Start to your client's MCP config file. Consult your client's documentation for the config file location.
Claude Code CLI commands
In-Memory DuckDB (Dev Mode):
Local DuckDB (Read-Only):
MotherDuck (Read-Write):
Codex CLI commands
In-Memory DuckDB (Dev Mode):
Local DuckDB (Read-Only):
MotherDuck (Read-Write):
Gemini CLI commands
In-Memory DuckDB (Dev Mode):
Local DuckDB (Read-Only):
MotherDuck (Read-Write):
Kiro manual JSON config
Add the following to your Kiro MCP config file (~/.kiro/settings/mcp.json for global, or .kiro/settings/mcp.json for project-scoped). See the Kiro MCP documentation for more details.
In-Memory DuckDB (Dev Mode):
MotherDuck (Read-Write):
Tools
*Requires --allow-switch-databases flag
All tools return JSON. Results are limited to 1024 rows / 50,000 chars by default (configurable via --max-rows, --max-chars).
Securing for Production
When giving third parties access to a self-hosted MCP server, read-only mode alone is not sufficient — it still allows access to the local filesystem, changing DuckDB settings, and other potentially sensitive operations.
For production deployments with third-party access, we recommend MotherDuck Remote MCP — zero-setup, read-write capable, and hosted by MotherDuck.
Self-hosting MotherDuck MCP: Fork this repo and customize as needed. Use a service account with read-scaling tokens and enable SaaS mode to restrict local file access.
Self-hosting DuckDB MCP: Use --init-sql to apply security settings. See the Securing DuckDB guide for available options.
Docker
Build and run the server with Streamable HTTP on port 8000 (defaults to an in-memory DuckDB):
Connect to MotherDuck by passing a token and overriding the command:
The MCP endpoint is available at http://localhost:8000/mcp. CLI flags and env vars from below still apply.
Command Line Parameters
Environment Variables
Troubleshooting
spawn uvx ENOENT: Specify full path touvx(runwhich uvxto find it)- File locked: Make sure
--ephemeral-connectionsis turned on (default: true) and that you're not connected in read-write mode
Resources
- MotherDuck MCP Documentation
- Close the Loop: Faster Data Pipelines with MCP, DuckDB & AI (Blog)
- Faster Data Pipelines with MCP and DuckDB (YouTube)
Development
To run from source:
Release Process
- Run the
Release New VersionGitHub Action - Enter version in
MAJOR.MINOR.PATCHformat - The workflow bumps version, publishes to PyPI/MCP registry, and creates the GitHub release with MCPB package
License
MIT License - see LICENSE file.
mcp-name: io.github.motherduckdb/mcp-server-motherduck
来源:README.md,提交 41acb58
工具
0版本历史
2- v1.1.0最新Oct 7, 2026
- v1.0.8Sep 16, 2026
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