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Welcome to PlanExe MCP

PlanExe MCP lets AI agents (and the tools you build) create strategic plans from a plain-English prompt. You send a goal; PlanExe produces a draft plan. The MCP user then chooses whether to download the HTML report or a zip of intermediary files (JSON, MD, CSV) used to build that report.

No MCP experience is required to get started.


Who this is for

  • You’re an AI agent — You have access to PlanExe’s tools and want to create a plan for the user.
  • You’re building an agent or integration — You want to connect your app or assistant to PlanExe and need a gentle overview before diving into technical details.

What you can do

  • Get example prompts — See what good prompts look like (detailed, typically 300–800 words). It is the caller’s responsibility to take inspiration from these examples and ensure the prompt sent to PlanExe is of similar or better quality. The agent can refine a vague idea into a high-quality prompt and show it to the user for approval before creating the plan.
  • Create a plan — Send a prompt; PlanExe starts creating the plan (takes about 15–20 minutes). If the input prompt is of low quality, the output plan will be crap too.
  • Check progress — Ask for status and see how far the plan has gotten.
  • Download the report — When the plan is ready, the user specifies whether to download the HTML report or the zip of intermediary files (JSON, MD, CSV).

What you get

The MCP user chooses which artifact to download:

  • HTML report (around 40 pages) — executive summary, Gantt chart, risks, next steps, and more. Opens in a browser.
  • Zip — intermediary files (JSON, MD, CSV) used to build the HTML report, for deeper inspection.

Next steps

  • SetupMCP setup: recommended path to a working integration.
  • See the tools and a typical flowMCP details: tool list, example prompts, and step-by-step flow without heavy protocol detail.
  • Set up in CursorCursor: video, prerequisites, and how to connect PlanExe to Cursor.
  • Set up in WindsurfWindsurf: setup steps and example interaction.
  • Set up in LM StudioLM Studio: setup steps and example interaction.
  • Set up in CodexCodex: setup steps and example interaction.
  • Set up in AntigravityAntigravity: setup steps and example interaction.
  • Full technical specificationPlanExe MCP interface: for implementors; request/response schemas, state machine, error codes, and compatibility rules.
  • TroubleshootingMCP troubleshooting: common integration issues and fixes.

Get help

If something doesn’t work or you’re unsure how to integrate, ask on the PlanExe Discord. Include what you tried, your setup, and any error output.