MCP server for Google Jules integration - automate tasks, code reviews, and repository management
MCP server for Google Jules integration - automate tasks, code reviews, and repository management
A Model Context Protocol (MCP) server for automating Google Jules - the AI coding assistant. This MCP enables seamless integration with Jules for task creation, code review automation, repository management, and AI-powered development workflows.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| jules_create_task | Create a new Jules task with repository and description |
| jules_get_task | Get detailed information about a specific task |
| jules_send_message | Send messages/instructions to Jules in active tasks |
| jules_approve_plan | Approve Jules execution plans |
| jules_resume_task | Resume paused tasks |
| jules_list_tasks | List tasks with filtering options |
| jules_analyze_code | Analyze code changes and project structure |
| jules_bulk_create_tasks | Create multiple tasks from a list |
| jules_get_cookies | Get current browser cookies for session persistence |
| jules_set_cookies | Set browser cookies from string/JSON for authentication |
| jules_session_info | Get current session configuration and status |
| jules_screenshot | Take debugging screenshots |
{
"mcpServers": {
"google-jules-mcp": {
"command": "node",
"args": [
"path/to/google-jules-mcp/dist/index.js"
],
"env": {
"HEADLESS": "true",
"SESSION_MODE": "cookies",
"GOOGLE_AUTH_COOKIES": "your_cookies_here",
"DEBUG": "false"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| HEADLESS | Declared in the maintainer’s client configuration. | Check documentation |
| SESSION_MODE | Declared in the maintainer’s client configuration. | Check documentation |
| GOOGLE_AUTH_COOKIES | Declared in the maintainer’s client configuration. | Check documentation |
| DEBUG | Declared in the maintainer’s client configuration. | Check documentation |
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Go to WindSurf AI settings and add the following configuration to the `ModelContextProtocol` section:
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