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Dagger container-use MCP (#3932)
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w. ian douglas
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---
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title: Container Use
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description: Use Container-Use MCP as a Goose Extension
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---
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import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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import GooseDesktopInstaller from '@site/src/components/GooseDesktopInstaller';
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import CLIExtensionInstructions from '@site/src/components/CLIExtensionInstructions';
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import YouTubeShortEmbed from '@site/src/components/YouTubeShortEmbed';
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<YouTubeShortEmbed videoUrl="https://www.youtube.com/embed/X3tf61_Tak0" />
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This tutorial covers how to add the [Container Use MCP Server](https://container-use.com) as a Goose extension enabling Goose to work in an isolated environment.
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:::tip TLDR
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<Tabs groupId="interface">
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<TabItem value="ui" label="Goose Desktop" default>
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[Launch the installer](goose://extension?cmd=container-use&arg=stdio&id=container-use&name=container%20use&description=use%20containers%20with%20dagger%20and%20git%20for%20isolated%20environments)
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</TabItem>
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<TabItem value="cli" label="Goose CLI">
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**Command**
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```sh
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container-use stdio
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```
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</TabItem>
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</Tabs>
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:::
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## Configuration
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:::info
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You'll need [Docker](https://www.docker.com/) installed on your system. If you want to use the remote MCP server, you'll also need [Node.js](https://nodejs.org/) installed.
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:::
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<Tabs groupId="online_offline">
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<TabItem value="remote-mcp" label="Remote MCP" default>
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<Tabs groupId="interface">
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<TabItem value="ui" label="Goose Desktop" default>
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<GooseDesktopInstaller
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extensionId="container-use"
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extensionName="Container Use"
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extensionDescription="Run container automation with container-use"
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command="npx"
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args={["-y", "mcp-remote", "https://container-use.com/mcp"]}
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cliCommand="npx -y mcp-remote https://container-use.com/mcp"
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timeout={300}
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note="Requires Node.js and Docker installed; see [container-use.com/quickstart](https://container-use.com/quickstart)."
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/>
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</TabItem>
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<TabItem value="cli" label="Goose CLI">
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<CLIExtensionInstructions
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name="Container Use"
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command="npx -y mcp-remote https://container-use.com/mcp"
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timeout={300}
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/>
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</TabItem>
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</Tabs>
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</TabItem>
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<TabItem value="local-mcp" label="Local MCP">
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<Tabs groupId="interface">
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<TabItem value="ui" label="Goose Desktop" default>
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<GooseDesktopInstaller
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extensionId="container-use"
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extensionName="Container Use"
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extensionDescription="Run container automation with container-use"
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command="container-use"
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args={["stdio"]}
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cliCommand="container-use stdio"
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timeout={300}
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note="Requires Docker installed; see [container-use.com/quickstart](https://container-use.com/quickstart)."
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/>
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</TabItem>
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<TabItem value="cli" label="Goose CLI">
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<CLIExtensionInstructions
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name="Container Use"
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command="container-use stdio"
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timeout={300}
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/>
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</TabItem>
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</Tabs>
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</TabItem>
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</Tabs>
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## Example Usage
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Here's a simple example of updating a file-based to-do app to use a SQLite database plus full testing - all within an isolated container environment.
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#### Prompt
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```
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Run a container agent to add a feature to save my to-do list data in sqlite, build and run tests, but use a separate Git branch so my main code stays safe.
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```
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#### Goose Output
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```
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I'll help you create a container environment to add SQLite functionality to your to-do list application on a separate Git branch. Let me start by creating the environment and examining your current code structure.
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─── environment_create | containeruse ──────────────────────────
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environment_source: ./examples/todo-list
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explanation: ...
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title: ...
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Now let me set up the environment with the necessary tools and then proceed with the SQLite feature development:
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─── environment_config | containeruse ──────────────────────────
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config:
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base_image: python:3.11-slim
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setup_commands:
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-
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[REDACTED: 63 chars]
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-
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pip install pytest pytest-cov
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environment_id: thankful-whale
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environment_source: ./examples/todo-list
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explanation: ...
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Let me install pytest after the environment is running:
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---
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Great! I've created a container environment for safely adding SQLite functionality to your to-do list app. Let me first explore the current code structure and then create a new Git branch.
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---
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Now I'll create the SQLite-based storage implementation. First, let me create a new version of the TaskManager with SQLite support:
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---
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## ✅ SQLite Feature Successfully Added!
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I've successfully created a container environment and added SQLite functionality to your to-do list application! Here's what was accomplished:
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### 🎯 **Features Implemented**
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1. **SQLite Database Storage**
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- Replaced plain text file storage with SQLite database
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- Created proper database schema with auto-incrementing IDs
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2. **Enhanced Task Management**
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- All original functionality preserved (add, list, mark done/undone, delete, clear)
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- Added new **statistics feature** showing completion rates
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- Improved task display with database IDs
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3. **Two Implementation Versions**
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- `taskman_sqlite.py` - Full-featured with Rich UI
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- `taskman_sqlite_simple.py` - Simplified without external dependencies
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### 🧪 **Testing Completed**
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- ✅ Created comprehensive test suite (`test_taskman_sqlite.py`)
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- ✅ Built simple test runner (`test_simple.py`)
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- ✅ All tests pass successfully
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- ✅ Manual testing confirms functionality works perfectly
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### 📊 **Live Demo Results**
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# Added tasks successfully
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✓ Added task: Buy groceries
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✓ Added task: Walk the dog
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# Listed tasks with SQLite IDs
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📋 Task List (SQLite)
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# ID Status Task
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1 1 ✓ Done Buy groceries
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2 2 ○ Todo Walk the dog
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# Statistics working
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Task Statistics:
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Total tasks: 2
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Completed: 1
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Pending: 1
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Completion rate: 50.0%
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# Database verified
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sqlite3 tasks.db "SELECT * FROM tasks;"
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1|Buy groceries|1
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2|Walk the dog|0
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### 🔒 **Safe Development**
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- ✅ Used separate container environment
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- ✅ All changes isolated from your main code
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- ✅ Original implementation preserved
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- ✅ Backward compatibility maintained
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### 📁 **Files Created**
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- `taskman_sqlite_simple.py` - Main SQLite implementation
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- `test_simple.py` - Test suite
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- `SQLITE_FEATURE_README.md` - Comprehensive documentation
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- `tasks.db` - SQLite database file
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The SQLite implementation is fully functional and ready for use! The original file-based version remains untouched, so you can safely evaluate the new SQLite features without any risk to your existing code.
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```
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@@ -593,5 +593,16 @@
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"is_builtin": false,
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"endorsed": false,
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"environmentVariables": []
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},
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{
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"id": "container-use",
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"name": "Container Use",
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"description": "Integrate container workflows with Goose using the Container-Use MCP",
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"command": "npx -y mcp-remote https://container-use.com/mcp",
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"link": "https://container-use.com",
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"installation_notes": "Requires Node.js and Docker.",
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"is_builtin": false,
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"endorsed": true,
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"environmentVariables": []
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}
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]
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