Production scheduling MCP for AI agents and LLMs

Intro

Most AI tools work off whatever you paste into them. A meeting note, an old export, a screenshot. That's fine for a quick answer, and risky for a schedule. The moment the plan moves, the AI is working from something stale. Planner uses MCP (Model Context Protocol) so Claude and other MCP-capable tools can work from your live production schedule instead. The assistant can read where things stand and suggest changes against the current plan. You stay in control of the plan.

The short version

• Does Planner have an MCP for production scheduling? Yes. Planner connects supported AI tools to your live schedule through MCP.
• Does it work with Claude? Yes. Claude is one client that can use the MCP connection. The feature is not limited to Claude.
• What can it do? Read your schedule, create and update blocks, and work with crew, non-working days and project settings where the connected tool supports those actions.
• Does the AI make changes on its own? It proposes. Whether you're asked to approve each change depends on how your AI tool is configured. Either way, the schedule only changes when you're ready.

What you can do with Planner and an AI agent

Once Planner is connected to a supported AI tool, you can ask it to work with your real schedule:

• Read the plan. "What's the post schedule across these three projects?" - answered from the live schedule, not a stale export.
• Build and adjust it. Create and update blocks, shift dates, and reorganise the grid where your connected AI tool is configured to do that.
• Work from imported schedules. If you start from a spreadsheet, import it into Planner first. The AI then works from the live Planner schedule, not the spreadsheet itself.
• Handle the surrounding detail. Crew, non-working days, project settings - the things that usually mean clicking around after a meeting.

Less time cross-referencing. More time running the production.

How it works (and why it's safe)

An MCP is a standard way to connect an AI assistant to a live system, so it reads and writes real data instead of guessing from what you paste in. Planner's is built as decision support: the assistant suggests, you review against the live plan, and the schedule only changes when you're ready. A human still owns the schedule. That's the difference between AI that's useful on a production and AI nobody trusts with the plan.

Why this matters

Production scheduling tools mostly fall into two camps: offline desktop software that an AI agent cannot reach, and generic boards that AI can technically read but that do not understand a shoot day. Planner gives you a production-native schedule and an MCP connection in the same place. The plan stays live. The human still owns it.

Next step