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Welcome to PlanExe MCP

PlanExe MCP lets AI agents (and the tools you build) create strategic project-plan drafts from a plain-English prompt. You send a goal; PlanExe produces a draft plan with 20+ sections — including adversarial analysis that stress-tests whether the plan holds up. 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. A compact prompt shape works best: objective, scope, constraints, timeline, stakeholders, budget/resources, and success criteria. 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 (typically takes 10–20 minutes on baseline profile). If the input prompt is of low quality, the output plan will be crap too. Visible plan_create options include model_profile.
  • Check progress — Ask for status and see how far the plan has gotten.
  • Retry failed runs — If status is failed, call plan_retry (defaults to baseline model profile) to requeue the same plan_id.
  • 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 (~700KB, self-contained) — 20+ sections including executive summary, interactive Gantt charts, investor pitch, SWOT, governance, team profiles, work breakdown, scenario comparison, expert criticism, and adversarial sections (premortem, self-audit, premise attacks). Opens in a browser with collapsible sections and interactive charts.
  • Zip — intermediary pipeline files (JSON, MD, CSV) that fed the HTML report, for deeper inspection.

Next steps

  • Setup — MCP setup: recommended path to a working integration.
  • Publish to MCP Registry — MCP registry publishing: publish mcp.planexe.org metadata so it appears in github.com/mcp.
  • See the tools and a typical flow — MCP details: tool list, example prompts, and step-by-step flow without heavy protocol detail.
  • Set up in Claude — Claude: Claude desktop app and Claude Code, with cloud and local Docker options.
  • Set up in Cursor — Cursor: video, prerequisites, and how to connect PlanExe to Cursor.
  • Set up in Windsurf — Windsurf: setup steps and example interaction.
  • Set up in LM Studio — LM Studio: setup steps and example interaction.
  • Set up in Codex — Codex: setup steps and example interaction.
  • Set up in Antigravity — Antigravity: setup steps and example interaction.
  • Full technical specification — PlanExe MCP interface: for implementors; request/response schemas, state machine, error codes, and compatibility rules.
  • Troubleshooting — MCP 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.