planexe
MCP serverAI & modelsplanexe turns a plain-language description of a project into a rough-draft plan. Once it is added, your AI can take what you describe in your own words and produce a first-draft project plan for you to work from.
Use planexe in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add planexe and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the example plans tool from planexe
Needs your own API account. Keys stay in your vault.
Details
Available today. Use it from your connected AI after setup.
After adding planexe, describe your project in a sentence or two and ask your AI to draft a plan for it.
What your AI can do with it
- Generate a rough-draft project plan from a plain-language prompt
- Turn a short description of your project into a first-draft plan
- Start planning by simply describing what you want to accomplish
Install planexe
The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http --scope user planexe 'https://mcp.planexe.org/mcp'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://mcp.planexe.org/mcpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=planexe&config=eyJ1cmwiOiJodHRwczovL21jcC5wbGFuZXhlLm9yZy9tY3AifQ==Open the link and Cursor adds the server at that address.
ChatGPT
https://mcp.planexe.org/mcpIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add planexe --url 'https://mcp.planexe.org/mcp'Run it once, then sign in with codex mcp login planexe if the server asks for an account.
From the project's README
As published by planexeorg/planexe in README.md.
srcset="docs/hero/planexe-hero-v1-grid-dark.svg">
[!IMPORTANT] PlanExe v2 is here, and it is better than v1. This repository is PlanExe v1. For new plans, use PlanExe2.
Why PlanExe exists
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.
What PlanExe does
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:
- Executive summary and project purpose
- Assumptions, constraints, and unanswered questions
- Strategic choices and alternative scenarios
- Work breakdown structure and dependency-aware Gantt chart
- Governance bodies, decision rights, and escalation paths
- Roles, stakeholders, and engagement approaches
- Risk register, SWOT analysis, and mitigation proposals
- Premortem, expert criticism, premise attack, and self-audit
- Documents to create, documents to find, and data to collect
- An editable bundle of Markdown, JSON, and CSV source artifacts
PlanExe v2 runs on your own machine and makes its model calls through the Claude Code CLI, using your Claude subscription.
Built for complex projects
PlanExe is intended for consulting-scale, multi-phase initiatives—not everyday task lists or small personal projects.
Examples of suitable work include:
- Planning a regional clean-water, energy, or transport infrastructure program
- Coordinating a regulated healthcare or financial-services transformation
- Designing a cross-border public-sector initiative
- Preparing a complex business, industrial, or technology program
- Structuring an ERP migration, corporate separation, or post-merger integration
- Helping an under-resourced organization develop an ambitious proposal before it has access to specialist advisers
The richer the brief—objective, location, constraints, stakeholders, resources, timeline, and success criteria—the more useful the resulting plan becomes.
A plan you can inspect and change
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.
What PlanExe does not replace
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:
- Evidence and current local data
- Stakeholder interviews and negotiation
- Domain experts and professional judgment
- Legal, financial, medical, safety, or engineering review where applicable
- Named people who take responsibility for decisions and execution
Use the report to expose assumptions, focus conversations, and accelerate planning—not as proof that a project is safe, feasible, funded, or approved.
See a plan, then generate one
- Browse plans generated by PlanExe and open any report that interests you.
- Generate your own plan with PlanExe v2.
Why run PlanExe on your own machine?
PlanExe v2 is a small Python program that you clone and run yourself. There is no hosted service and no PlanExe account. Running it locally lets you:
- Keep every generated plan as files on your own disk
- Edit any intermediate file and regenerate only the work that depends on it
- Resume an interrupted run without repeating the work already finished
- Read the log of every prompt and response behind the report
- Get started with nothing more than Python 3.11 and the Claude Code CLI
PlanExe v2 sends your project brief and the intermediate planning material to Anthropic through the Claude Code CLI. Do not use it for material that must not leave systems you control.
Running PlanExe yourself does not remove your legal, ethical, security, or professional responsibilities.
For setup instructions, see the PlanExe v2 repository.
Tools it offers (11)
What this server listed when Ahel dialed its public endpoint in Oct 2026, with no key and no account of yours. The names are the server’s own.
example_plansexample_promptsmodel_profilesplan_createplan_statusplan_stopplan_retryplan_resumeplan_file_infoplan_listsend_feedback
Signals
- GitHub stars
- 401
- Forks
- 66
- Last commit
- Oct 2026
Advanced
- Delivery
- planexe MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
io-github-planexeorg-planexe- Source
- github.com/planexeorg/planexe
- Hosted endpoint
https://mcp.planexe.org/mcp
More in AI & models
MCP server · upstash
More in AI & modelsAdButler
MCP server · adbutler
More in AI & modelsatom-mcp-server
MCP server · a7om-ai
More in AI & modelsottasia
MCP server · aiweather-anurag
More in AI & modelsunphurl
MCP server · 123ergo
More in AI & modelsmicrosoft-learn-mcp
MCP server · microsoftdocs
More in AI & models