Jules MCP Server

Jules MCP Server

Integrates Google's Jules coding agent with AI assistants to delegate autonomous coding tasks like bug fixes, refactoring, and tests, with support for scheduling recurring maintenance tasks and human-in-the-loop plan approval.

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Jules MCP Server

License: MIT TypeScript Node.js MCP

A production-ready Model Context Protocol (MCP) server for the Google Jules API, enabling autonomous coding tasks and scheduling directly from AI assistants like Claude.

⚠️ DISCLAIMER: This is an independent, open-source project and is NOT officially created, maintained, or endorsed by Google. This server is a community-driven integration with the public Jules API. Use at your own risk. For official Jules documentation, visit jules.google.

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Overview

This MCP server bridges the Google Jules coding agent with AI assistants, allowing you to:

  • Create coding tasks - Delegate bug fixes, refactoring, tests, and features to Jules
  • Schedule recurring tasks - Set up automated weekly/daily maintenance (dependency updates, security audits, etc.)
  • Monitor progress - Track session states and review generated plans
  • Approve plans - Human-in-the-loop control before code changes
  • Manage workflows - Send feedback and iterate on Jules's work

Architecture: The "Thick Server" Pattern

Since the Jules API v1alpha is stateless (no native scheduling endpoints), this server implements a local scheduling engine:

  • Persistent Storage: Schedules stored in ~/.jules-mcp/schedules.json
  • Cron Engine: Uses node-schedule for reliable task execution
  • Survives Restarts: Schedules are rehydrated on server startup
  • Autonomous Execution: Scheduled tasks run even without active IDE sessions

Installation

Prerequisites

  • Node.js 18.0.0 or higher
  • Jules API Key - Generate at jules.google/settings
  • GitHub Repositories - Connect repos to Jules via the web UI first

Setup

# Clone or download this repository
cd jules-mcp

# Install dependencies
npm install

# Build TypeScript
npm run build

# Set your API key
export JULES_API_KEY="your-key-here"

# Test the server
npm start

Quick smoke test (MCP stdio)

After building and setting JULES_API_KEY, you can validate the server end-to-end:

npm run mcp:smoke

Expected output (with a valid key):

  • Lists 6 tools, 5 prompts, and the 4 core resources
  • Attempts to read a fake session ID and reports a Jules 404 (proves real API calls work)
  • Attempts a tool call with dummy data and reports the API error without crashing

Global Installation (Recommended)

# Install globally
npm install -g

# Now available as: jules-mcp
jules-mcp

Configuration

Environment Variables

Create a .env file or set these in your shell:

# Required
JULES_API_KEY=your_jules_api_key_here

# Optional - Security allowlist (comma-separated repo names)
# If set, only these repos can be modified
JULES_ALLOWED_REPOS=owner/repo1,owner/repo2

# Optional - Default branch
JULES_DEFAULT_BRANCH=main

Claude Desktop Configuration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "jules": {
      "command": "node",
      "args": ["/path/to/jules-mcp/dist/index.js"],
      "env": {
        "JULES_API_KEY": "your-key-here"
      }
    }
  }
}

On macOS: ~/Library/Application Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

VS Code / Cursor Configuration

For Cursor or VS Code with MCP support:

{
  "mcp.servers": {
    "jules": {
      "command": "jules-mcp",
      "env": {
        "JULES_API_KEY": "your-key-here"
      }
    }
  }
}

Usage

Once configured, your AI assistant can use Jules through natural language:

Creating Immediate Tasks

"Use Jules to add unit tests for the authentication module in my-app-backend repository"

The assistant will:

  1. Check jules://sources to find the repository
  2. Call create_coding_task tool with appropriate prompt
  3. Return the session ID for monitoring

Scheduling Recurring Tasks

"Schedule Jules to update dependencies every Monday at 9 AM in my-app-backend"

The assistant will:

  1. Call schedule_recurring_task with cron "0 9 * * 1"
  2. Save the schedule to ~/.jules-mcp/schedules.json
  3. Confirm the next execution time

Monitoring Progress

"Check the status of Jules session abc123"

The assistant will:

  1. Call get_session_status or read jules://sessions/abc123/full
  2. Show current state (PLANNING, IN_PROGRESS, COMPLETED, etc.)
  3. Provide next steps based on state

Reviewing and Approving Plans

"Show me Jules's plan for session abc123 and approve it"

The assistant will:

  1. Read jules://sessions/abc123/full to get the plan
  2. Display the plan steps to you
  3. Call manage_session with action=approve_plan after your confirmation

Available Resources

Resources are read-only context that the AI can access:

URI Description
jules://sources Connected GitHub repositories
jules://sessions/list Recent Jules sessions
jules://sessions/{id}/full Complete session details with activities
jules://schedules Active scheduled tasks
jules://schedules/history Execution history

Available Tools

Tools are actions the AI can execute:

create_coding_task

Creates an immediate Jules coding session.

Parameters:

  • prompt (required) - Natural language task instruction
  • source (required) - Repository (format: sources/github/owner/repo)
  • branch (optional) - Target branch (default: main)
  • auto_create_pr (optional) - Auto-create PR (default: true)
  • require_plan_approval (optional) - Pause for review (default: false)
  • title (optional) - Session title

Returns: Session ID and monitoring URL

manage_session

Manage active sessions (approve plans, send feedback).

Parameters:

  • session_id (required)
  • action (required) - "approve_plan" or "send_message"
  • message (optional) - Required for send_message

get_session_status

Check session status and get next steps.

Parameters:

  • session_id (required)

schedule_recurring_task

Schedule a task to run on a cron schedule.

Parameters:

  • task_name (required) - Unique schedule identifier
  • cron_expression (required) - Standard cron format
  • prompt (required) - Task instruction
  • source (required) - Repository resource name
  • branch, auto_create_pr, require_plan_approval, timezone (optional)

Cron Examples:

  • "0 9 * * 1" - Every Monday at 9 AM
  • "0 2 * * *" - Every day at 2 AM
  • "0 0 1 * *" - First day of each month at midnight

list_schedules

List all active scheduled tasks with next run times.

delete_schedule

Remove a scheduled task.

Parameters:

  • task_name (required)

Available Prompts

Prompts are templates that guide best practices:

  • refactor_module - Guided refactoring workflow
  • setup_weekly_maintenance - Automated maintenance setup
  • audit_security - Comprehensive security audit
  • fix_failing_tests - Test failure resolution
  • update_dependencies - Dependency update with breaking change handling

Security Considerations

API Key Security

  • Never commit your JULES_API_KEY to version control
  • Store in environment variables or secure secrets manager
  • The API key grants write access to connected repositories

Repository Allowlist

Use JULES_ALLOWED_REPOS to restrict which repositories can be modified:

export JULES_ALLOWED_REPOS="myorg/safe-repo,myorg/test-repo"

This prevents accidental modifications to production or sensitive repos.

Plan Approval Workflow

For critical repositories, always set require_plan_approval: true:

"Create a task but require plan approval before any code changes"

This ensures human review before Jules modifies code.

Audit Logging

All scheduled task executions are logged to jules://schedules/history. Review this regularly to audit autonomous activities.

Troubleshooting

"JULES_API_KEY environment variable is required"

Set your API key:

export JULES_API_KEY="your-key-here"

"Repository not found" error

  1. Check jules://sources resource to see connected repos
  2. Ensure the GitHub app is installed on the repository
  3. Use the exact resource name format: sources/github/owner/repo

Schedules not persisting

Check that ~/.jules-mcp/schedules.json exists and is writable.

TypeScript compilation errors

npm run typecheck

Development

Project Structure

src/
  types/          # TypeScript type definitions
    jules-api.ts  # Jules API types
    schedule.ts   # Schedule types
  api/            # API client layer
    jules-client.ts
  storage/        # Persistence layer
    schedule-store.ts
  scheduler/      # Cron engine
    cron-engine.ts
  mcp/            # MCP protocol layer
    resources.ts  # Resources implementation
    tools.ts      # Tools implementation
    prompts.ts    # Prompt templates
  index.ts        # Main entry point

Build Commands

npm run build      # Compile TypeScript
npm run dev        # Development mode with tsx
npm run typecheck  # Type checking only

API Endpoints Covered

This server provides complete coverage of the Jules v1alpha API:

Endpoint Method MCP Mapping
/sources GET Resource: jules://sources
/sources/{name} GET Included in full session resource
/sessions POST Tool: create_coding_task
/sessions GET Resource: jules://sessions/list
/sessions/{id} GET Tool: get_session_status
/sessions/{id}:approvePlan POST Tool: manage_session (approve_plan)
/sessions/{id}:sendMessage POST Tool: manage_session (send_message)
/sessions/{id}/activities GET Resource: jules://sessions/{id}/full

Additional Capabilities (Beyond API)

  • Local scheduling - Cron-based task execution
  • Schedule persistence - Survives server restarts
  • Execution history - Audit trail for scheduled tasks

Future Roadmap

When Jules API adds native scheduling:

  • The schedule_recurring_task tool will migrate from local cron to API calls
  • Existing local schedules can be migrated automatically
  • The MCP tool interface remains unchanged for backward compatibility

Resources

  • Jules API Documentation: https://developers.google.com/jules/api
  • Jules Web Interface: https://jules.google
  • Model Context Protocol: https://modelcontextprotocol.io
  • MCP TypeScript SDK: https://github.com/modelcontextprotocol/typescript-sdk

License

MIT

Contributing

This is an open-source implementation. Contributions welcome for:

  • Additional prompt templates
  • Enhanced error handling
  • Webhook support (when Jules API adds it)
  • Advanced scheduling features (conditional execution, dependency chains)

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