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Set up or troubleshoot MotherDuck connections, the MotherDuck MCP server in AI clients, authentication, client runtimes, and read scaling.

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agent-skills
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Claude Code

$ npx -y skills add motherduckdb/agent-skills --skill motherduck-connect --agent claude-code

SKILL.md

motherduck-connect.SKILL.md
name: motherduck-connect
description: Set up or troubleshoot MotherDuck connections, the MotherDuck MCP server in AI clients, authentication, client runtimes, and read scaling.
license: MIT

Connect to MotherDuck

Source Of Truth

  • Prefer current MotherDuck connection, attach-mode, read-scaling, and multithreading docs.
  • If the MotherDuck MCP `ask_docs_question` tool is available, use it first for current connection behavior.
  • When it is unavailable, verify guidance against the public docs before making firm claims about connection strings, token types, or read-scaling behavior.

Default Posture

  • Start with the PG endpoint (MotherDuck's Postgres-compatible endpoint) for backend applications, BI tools, and serverless runtimes that want PostgreSQL wire compatibility.
  • For BI tools, treat the PG endpoint as the compatibility path for Power BI and Tableau Cloud when current docs list them as supported.
  • Use the native DuckDB API when you need local files, hybrid local/cloud execution, or direct DuckDB control.
  • Use `md:` workspace connections for multi-database exploration, bootstrap flows, and temporary validation environments.
  • Reuse an existing connection, connector, or environment-managed token when the user's context already provides one; do not ask for secrets that can be discovered from the active workspace. When only the MotherDuck MCP server is connected and a one-off local session needs credentials, `get_short_lived_token` returns a temporary token and endpoint details; pass it through the process environment and never write it to files, code, or logs. Deployed services still need a service-account token.
  • Start with one connection. Add pooling or read scaling only when real concurrent-read pressure exists.
  • For services that should fail over instead of blocking while a Duckling starts, bound native `md:` connects with `connection_timeout` (`md:my_db?connection_timeout=30s`, `MOTHERDUCK_CONNECTION_TIMEOUT`, or `SET motherduck_connection_timeout = '30s'` before the first `ATTACH 'md:'`). It applies to DuckDB clients with the MotherDuck extension, not the PG endpoint or Wasm. Without it, only network retries are bounded.
  • To connect an AI client (Claude, Cursor, VS Code, Gemini CLI, ChatGPT, Codex) to MotherDuck, use the hosted MCP server at `https://api.motherduck.com/mcp`; read `references/MCP_SETUP.md`.
  • Use native DuckDB `custom_user_agent` where supported; for PG endpoint clients, prefer the client's `application_name` setting when available. The tag shows per query in the Duckling Overview, which makes it the quickest way to see which workload is using a Duckling.

Runtime Selection

Pick the connection method (above) and the runtime separately. The runtime is what actually executes queries: MotherDuck MCP, the MotherDuck CLI, a Python or Node process, or the DuckDB CLI.

For answer, review, or planning requests, inspect the available runtimes and recommend a path without installing anything. Install or configure a runtime only when the user asks to connect, build, or change the application.

Reuse the project’s language, dependencies, and working connection. Prefer MCP for chat-only exploration and the MotherDuck CLI for file-shaped Dive/Flight work or large output. For application code, use its existing runtime; choose a new runtime only when none is established.

Before installing a DuckDB client, check `https://motherduck.com/docs/duckdb-versions.json` and pin a MotherDuck-supported version. Keep an existing compatible pin unless the task requires an upgrade. See the runtime reference for installation examples.

Workflow

1. Choose the connection path for the workload; keep ingestion and serving paths distinct when their needs differ. 2. Put the MotherDuck token in environment-managed secrets, not in source code. 3. Establish the connection with explicit SSL settings where required. 4. Verify the connection with `SELECT 1 AS connected` and then list reachable tables. 5. If the workload is read-heavy and concurrent, evaluate read scaling and a stable `session_name` per end user.

References

  • Read `references/MCP_SETUP.md` to add the MotherDuck MCP server to an AI client.

Read only the reference sections needed for the current task.

  • Read `references/CONNECTION_GUIDE.md` for connection-method selection, PG endpoint and native DuckDB examples, token handling, read scaling, attach modes, and common failure modes
  • Read `references/RUNTIME_SELECTION.md` for the MCP-vs-Python-vs-Node-vs-CLI decision tree, detection commands, install snippets, and the DuckDB version-pinning workflow

Related Skills

Load related skills only for missing capabilities; reuse established context.

  • `motherduck-explore` for discovering databases, tables, columns, and shares after the connection is established
  • `motherduck-query` for executing DuckDB SQL against the connected databases
  • `motherduck-duckdb-sql` for DuckDB syntax and function lookup support
  • `motherduck-rest-api` for control-plane admin operations; those use `MOTHERDUCK_ADMIN_TOKEN`, which is never used for database connections
  • `motherduck-cli` for terminal queries and file-oriented Dive/Flight authoring
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Questions about motherduck-connect.

Which coding agents can use motherduck-connect?
motherduck-connect installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.