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Enable agentic work management with Microsoft Planner MCP Server

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Microsoft Planner capabilities are now part of the new Work IQ APIs which reached general availability on June 16, 2026.

The Microsoft Planner MCP Server is part of Work IQ MCP and makes it easier to connect Planner capabilities into agent-driven workflows. It allows agents to manage and automate work across plans. These capabilities extend Planner into end-to-end work management workflows, where agents can take action on plans and handle routine coordination. Designed for building custom agents, the Planner MCP Server connects planning, execution, and tracking across tools. As agents take on day-to-day coordination, teams can spend less time managing tasks and more time focusing on higher-impact decisions.

Core capabilities

The Work IQ MCP provides a unified set of tools that allow agents to interact with Microsoft 365 entities through a single endpoint. As part of this interface, the Planner MCP Server enables new ways to help manage and automate work.

Core capabilities include:

  • Manage and automate work across plans: Create new plans and tasks, update existing ones, and understand the state of work. This includes scenarios such as status reporting, workload visibility, and automated updates.
  • Connect work across Microsoft 365: Use shared context from Planner, Microsoft Teams, Outlook, and more to coordinate work across tools and workflows
  • Built for secure, enterprise workflows: All actions are permission-trimmed and policy-enforced under the signed-in user’s Entra ID context.

The Planner MCP Server helps eliminate the complexity of custom integrations and unlocks new possibilities for agentic automation. By unifying Planner with other Microsoft 365 data, organizations can now connect work management into their intelligent workflows across teams and departments.

Example scenarios

Planner can be accessed through a conversational experience for creating, updating, and reviewing plans and tasks, as well as understanding the state of work through natural language queries. Custom agents can then be built to support organizational needs, helping automate common scenarios and repetitive workflows.

Examples of support scenarios include:

  • On-demand status reporting: Summarize progress, risks, and blockers across plans and teams.
  • Cross-plan workload views: Aggregate tasks and assignments for resource management.
  • Automated plan updates: Create, update, or archive plans and tasks based on triggers.
  • Automated follow-ups: Schedule reminders, assign tasks, and track completion across Planner and Teams.

Getting started

To begin leveraging the Planner MCP Server, enable the Work IQ API in your tenant. Leverage Copilot extensibility guidance to enhance your AI solutions with Work IQ APIs and follow these step-by-step instructions to get started.

  • Install and set up GitHub Copilot CLI.
  • Install the Work IQ Plugin: Follow the instructions to install the Work IQ plugin. Once the installation is done, restart GitHub Copilot CLI.
  • Verify that the MCP server and skills are loaded running ‘/mcp’ and ‘/skills’ commands on your console.
  • You are all set. You can now start playing with your Planner data. For example, try prompts such as:
    • Show me my Planner plans.
    • View my tasks that are due this week.
    • Find high-priority overdue tasks from my plans.
    • Based on my latest email thread with Adrian, update my Compliance Audit Plan.

Be sure to follow best practices for delegated permissions, admin consent, and Copilot licensing.

Limitations

The Planner MCP Server currently supports basic plans. Premium capabilities such as dependencies, task history, and custom fields are not yet available. It is available through GitHub Copilot in VS Code and GitHub Copilot CLI. Support for Copilot Studio, Agent 365 SDK/CLI, and Microsoft Foundry is in progress.

Provide feedback

We can’t wait to hear how you use the Planner MCP Server to transform work management. Please share your experience in the comments below. We also encourage you to share any feature requests by adding your ideas to the Planner Feedback Portal.

Thank you for being part of our journey and helping us shape the future of work management with AI!

Learn more

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alvinashcraft
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MBW 1030: Impulse Pork Lo Mein - More Expensive Apple Products Down the Road?

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Tim Cook signals that the company will likely raise its prices down the road due to the memory chip shortage. Apple's AirPods Pro 3 heart rate sensor is almost as accurate as the one in the Apple Watch. Still waiting to gain access to Siri AI? There's a shortcut to bypass it. And Apple's App Store is logging more data from you than most initially thought, per some security researchers.

  • Apple to raise prices due to memory chip crunch, Tim Cook says.
  • We did the math on why the iPhone 18 Pro could cost $1,299.
  • Why Apple's war chest can't win the memory war.
  • Apple's WebKit performance tax leaves iOS browsers stuck in the slow lane, says Microsoft.
  • Trump says Apple will build chips with Intel in the US.
  • AirPods Pro 3 heart rate sensor nearly matches Apple Watch in accuracy test.
  • iOS 27 Beta 2 adds inline replies to iPhone-to-Android RCS chats.
  • Skip the Siri AI Waitlist on Mac with this Shortcut.
  • The system prompt for "Describe a Shortcut" references a shortcuts language (in Python) – (but that's not what it is - see update).
  • Android 17 can copy more data from iPhone including your iMessage history and homescreen.
  • Apple's App Store search data stores every single keystroke.
  • New unpatchable exploit targets Apple devices with A12 and A13 chips.
  • iPhone users: Be aware of this new 'Apple High Alert' scam.
  • visionOS 27 gives the M5 Vision Pro two unique new advantages.
  • Snap launches $2,195 specs, declaring glasses the next computer.
  • Apple's Latest Vision Pro tool contains traces of defunct game engine 'The Machinery'

Picks of the Week

  • Jason's Pick: Apple's Refurb Store
  • Leo's Pick: Yes We Scan
  • Christina's Pick: Orb Stack
  • Andy's Pick: MonoLisa Version 3

Hosts: Leo Laporte, Andy Ihnatko, Jason Snell, and Christina Warren

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alvinashcraft
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Closing the loop: Evaluating and improving Replit Agent at scale

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Most Replit Agent users start with nothing more than an idea. They describe the goal in natural language — without a repo, test suite, or chosen framework — and expect the agent to turn it into a functioning app. The result might be a website, slide deck, mobile app, several connected artifacts, or something else entirely. A vibe coder doesn’t ask whether a patch applied or a unit test passed. They judge the finished app against the request. Success for the agent is deceptively simple: it should work when users click around. The target keeps moving. Models, prompts, tools, and product surfaces evolve quickly, while users keep finding new ways to stretch the agent. We need to know whether Replit Agent is getting better for these users, week over week, with confidence. Answering that requires evaluation to do more than produce a score. Evaluation must tell us what users care about, where the system is breaking, and which updates to ship next. We have been living with this problem ever since Replit Agent became capable enough for users to depend on it. The lesson is that evaluation cannot sit outside the agent as a report or leaderboard. It has to become part of the machinery that improves the agent. The system has four parts: ViBench for offline end-to-end evaluation, A/B tests for production measurement, Telescope for trace analysis and clustering, and an optimization loop for turning evidence into candidate changes. We want a faster path from real user failures to better agent releases.

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Infragistics Puts MCP Toolchain at Center of Ultimate 26.1

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Infragistics Ultimate 26.1 introduces the Ignite UI Enterprise MCP toolchain for AI-assisted app development across Angular, React, Web Components and Blazor.
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Node.js 24.18.0 (LTS)

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Swift Package Index Update

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Since its launch, Swift Package Index has become an essential part of the Swift ecosystem, helping developers discover quality packages, evaluate compatibility, and make informed decisions about dependencies.

Started by Dave Verwer and Sven A. Schmidt, the project currently indexes thousands of packages and serves as a central hub for package documentation. Recently, Swift Package Index has grown alongside the Swift project’s multi-platform expansion, extending its compatibility testing to encompass Linux, Android, and WebAssembly.

Today, Swift Package Index announced that it has joined Apple and continues its mission:

Together, we’re building a comprehensive package registry to serve the Swift community’s evolving needs.

Learn more by reading the Swift Package Index announcement.

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