MCP server for generating rough-draft project plans from natural-language prompts.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"planexe": {
"url": "https://mcp.planexe.org/mcp",
"headers": {
"X-API-Key": "pex_your_api_key_here"
}
}
}
}Are you the author?
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No automated test available for this server. Check the GitHub README for setup instructions.
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Turn your idea into a comprehensive plan in minutes, not months.
Describe your idea, hit submit, and PlanExe returns a ~40-page plan in about 15 minutes.
Create an account | See example plans | Getting started guide
PlanExe is an open-source tool and the premier planning tool for AI agents. It turns a single plain-english goal statement into a 40-page, strategic plan in ~15 minutes using local or cloud models. It's an accelerator for outlines, but no silver bullet for polished plans.
Typical output contains:
PlanExe produces well-structured, domain-aware output: correct terminology, logical task sequencing, and coherent sections. For technical topics (engineering programs, regulated industries), it often gets the vocabulary and structure right. Think of it as a first-draft scaffold that gives you something concrete to critique and refine.
However, the output has consistent weaknesses that matter: budgets are assumed rather than derived, timeline estimates are not grounded in real resource constraints, risk mitigations tend toward generic advice, and legal/regulatory details are plausible-sounding but unverified. The output should be treated as a structured starting point, not a deliverable. How much work it saves depends heavily on the project. For brainstorming or a first outline, it can save hours. For a client-ready plan, expect significant rework on every number, timeline, and risk section.
PlanExe exposes an MCP server for AI agents at https://mcp.planexe.org/
Assuming you have an MCP-compatible client (Claude, Cursor, Codex, LM Studio, Windsurf, OpenClaw, Antigravity).
The Tool workflow
example_plans (optional, preview what PlanExe output looks like)example_promptsmodel_profiles (optional, helps choose model_profile)plan_createplan_status (poll every 5 minutes until done)plan_retryplan_file_infoConcurrency note: each plan_create call returns a new plan_id; server-side global per-client concurrency is not capped, so clients should track their own parallel plans.