MCP server for generating rough-draft project plans from natural-language prompts.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
💡 Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
Planning complex projects should not require a consulting-firm budget.
Turn a complex project brief into an editable planning baseline in about 15 minutes.
Create an account  | See example plans  | Getting started guide
Good ideas are not limited to people and organizations that can afford a large consulting engagement. Turning an ambitious idea into a coherent project, however, normally requires substantial time, specialist knowledge, stakeholder interviews, and repeated synthesis.
PlanExe is open-source software for people and AI agents that need to plan complex projects. Describe a project in plain language and PlanExe creates a structured first-pass plan: the assumptions to challenge, decisions to make, work to coordinate, risks to investigate, and questions that must be answered before execution.
The result is not a substitute for stakeholder participation or professional sign-off. It is a way to begin with a broad, inspectable planning baseline instead of a blank page.
PlanExe examines a project from several planning perspectives and combines the results into one self-contained interactive report. Depending on the project, the output commonly includes:
The planning pipeline can use cloud models or run with local models so sensitive project material can remain on systems you control.
PlanExe is intended for consulting-scale, multi-phase initiatives—not everyday task lists or small personal projects.
Examples of suitable work include:
The richer the brief—objective, location, constraints, stakeholders, resources, timeline, and success criteria—the more useful the resulting plan becomes.
PlanExe does not hide the planning process inside a chat transcript. Each run produces a folder of readable source artifacts alongside the final report.
If you find an assumption or early decision you disagree with, you can edit that artifact and continue the plan from there. PlanExe rebuilds the later work that depends on your change while preserving earlier work you already accept. This makes it possible to refine the reasoning behind a plan, not merely rewrite its final prose.
PlanExe creates a draft for investigation and refinement. Generated claims, budgets, dates, laws, engineering assumptions, and risk estimates may be wrong or incomplete. Important projects still require:
Use the report to expose assumptions, focus conversations, and accelerate planning—not as proof that a project is safe, feasible, funded, or approved.
Some project data should not be sent to third-party services. Running PlanExe with local models can help you:
Self-hosting does not remove your legal, ethical, security, or professional responsibilities. It gives you greater control over the models, infrastructure, and information involved.
For MCP, command-line, AI-agent, and Docker setup, see the PlanExe documentation.
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