Microsoft Planner MCP Server

A production-ready MCP (Model Context Protocol) server that integrates Microsoft Planner with your applications, enabling programmatic management of planning boards and backlogs.

Features

• Microsoft OAuth 2.0 Authentication - Secure authentication with MSAL and token caching
• Graph API Integration - Full access to Microsoft Planner via Graph API
• FastMCP Server - Resource handlers for plans, tasks, and buckets
• Task Management Tools - Create, read, update, delete, and move tasks
• Intelligent Caching - In-memory caching for improved performance
• CLI Client - Command-line interface for testing and interaction
• Structured Logging - JSON logging with context tracking

Prerequisites

• Python 3.11+
• Microsoft Azure account with admin access
• Microsoft 365 organization with Planner enabled
• Azure app registration with required permissions

Quick Start

1. Azure App Registration

Run the setup script to get step-by-step instructions:

python scripts/setup_azure_app.py

This will guide you through:

• Creating an Azure AD app registration
• Configuring API permissions
• Creating client secrets
• Gathering required credentials

2. Environment Configuration

Copy the example environment file and fill in your Azure credentials:

cp .env.example .env

Edit .env and add your Azure credentials:

AZURE_TENANT_ID=your-tenant-id
AZURE_CLIENT_ID=your-app-client-id
AZURE_CLIENT_SECRET=your-client-secret

3. Install Dependencies

pip install -r requirements.txt

4. Run the Server

python src/server.py

The server will start on http://0.0.0.0:8080

MCP Resources

The server exposes these MCP resources:

• planner://plans/{plan_id} - Get plan details
• planner://plans/{plan_id}/tasks - List all tasks in a plan
• planner://plans/{plan_id}/buckets - List all buckets in a plan

MCP Tools

Available tools for task management:

create_task

Create a new task in Microsoft Planner.

Parameters:

• plan_id (required): Plan ID
• title (required): Task title
• bucket_id (optional): Bucket ID
• due_date (optional): Due date (ISO 8601 format)
• priority (optional): Priority (0-10)
• assignee_ids (optional): List of user IDs to assign

update_task

Update an existing task.

Parameters:

• task_id (required): Task ID
• title (optional): New title
• bucket_id (optional): New bucket ID
• percent_complete (optional): Progress percentage (0-100)
• priority (optional): New priority
• due_date (optional): New due date

delete_task

Delete a task.

Parameters:

• task_id (required): Task ID

move_task

Move a task to a different bucket.

Parameters:

• task_id (required): Task ID
• target_bucket_id (required): Target bucket ID

get_task_details

Get detailed information about a task.

Parameters:

• task_id (required): Task ID

CLI Usage

The project includes a CLI client for testing:

# Get plan details
python cli/mcp_cli.py get-plan --plan-id YOUR_PLAN_ID

# List tasks in a plan
python cli/mcp_cli.py list-tasks --plan-id YOUR_PLAN_ID

# Create a new task
python cli/mcp_cli.py create-task --plan-id YOUR_PLAN_ID --title "New Task" --priority 5

Architecture

src/
├── server.py           # FastMCP server entry point
├── config.py           # Configuration management
├── auth/               # Microsoft authentication
├── graph/              # Graph API client
├── cache/              # Caching layer
├── tools/              # MCP tools
└── utils/              # Utilities and logging

Configuration

All configuration is managed through environment variables or the .env file:

Security

• Never commit .env file or secrets to version control
• Rotate client secrets regularly
• Use minimum required API permissions
• Enable audit logging in Azure AD

Troubleshooting

Authentication Errors

• Verify Azure credentials in .env
• Check app registration permissions
• Ensure admin consent is granted

API Errors

• Check network connectivity
• Verify plan/task IDs are correct
• Review server logs for details

License

MIT License

Support

For issues and questions, please open an issue on GitHub.