Summary
Planexe exposes an MCP server that enables AI agents to generate comprehensive strategic plans from plain-English goal statements in approximately 15 minutes. The server provides planning capabilities that produce structured outputs including executive summaries, Gantt charts, governance structures, role descriptions, stakeholder maps, risk registers, and SWOT analyses, solving the problem of rapidly transforming high-level ideas into detailed, domain-aware first-draft plans. While the generated plans serve as strong scaffolding for brainstorming and outlining, users should treat outputs as starting points requiring refinement, particularly for budgets, timeline estimates, risk mitigations, and regulatory details.
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Tools
Public tool metadata for what this MCP can expose to an agent.
11 tools
example_plansReturns a curated list of example plans with download links for reports and zip bundles. Use this to preview what PlanExe output looks like before creating your own plan. Especially useful when the user asks what the output looks like before committing to a plan. No API key re...
Returns a curated list of example plans with download links for reports and zip bundles. Use this to preview what PlanExe output looks like before creating your own plan. Especially useful when the user asks what the output looks like before committing to a plan. No API key re...
No parameter schema in public metadata yet.
example_promptsCall this first. Returns example prompts that define what a good prompt looks like. Do NOT call plan_create yet. Optional before plan_create: call model_profiles to choose model_profile. Next is a non-tool step: formulate a detailed prompt (typically ~300-800 words; use exampl...
Call this first. Returns example prompts that define what a good prompt looks like. Do NOT call plan_create yet. Optional before plan_create: call model_profiles to choose model_profile. Next is a non-tool step: formulate a detailed prompt (typically ~300-800 words; use exampl...
No parameter schema in public metadata yet.
model_profilesOptional helper before plan_create. Returns model_profile options with plain-language guidance and currently available models in each profile. If no models are available, returns error code MODEL_PROFILES_UNAVAILABLE.
Optional helper before plan_create. Returns model_profile options with plain-language guidance and currently available models in each profile. If no models are available, returns error code MODEL_PROFILES_UNAVAILABLE.
No parameter schema in public metadata yet.
plan_createCall only after example_prompts and after you have completed prompt drafting/approval (non-tool step). PlanExe turns the approved prompt into a strategic project-plan draft (20+ sections) in ~10-20 min. Sections include: executive summary, interactive Gantt charts, investor pi...3 params
Call only after example_prompts and after you have completed prompt drafting/approval (non-tool step). PlanExe turns the approved prompt into a strategic project-plan draft (20+ sections) in ~10-20 min. Sections include: executive summary, interactive Gantt charts, investor pi...
Parameters* required
promptstringstart_datevalueOptional plan start date in ISO 8601 format with timezone offset (e.g. '2025-06-15T09:00:00+02:00'). When omitted, the plan starts now. Use this to set a past or future start date for the plan.
model_profilestringModel profile: baseline, premium, frontier, custom. Call model_profiles to inspect options.one of
baseline · premium · frontier · customdefault: baselineplan_statusReturns status and progress of the plan currently being created. This is the primary way to check progress — it returns structured JSON with all progress fields. Poll at reasonable intervals (e.g. every 5 minutes): plan generation typically takes 10-20 minutes (baseline profil...1 params
Returns status and progress of the plan currently being created. This is the primary way to check progress — it returns structured JSON with all progress fields. Poll at reasonable intervals (e.g. every 5 minutes): plan generation typically takes 10-20 minutes (baseline profil...
Parameters* required
plan_idstringPlan UUID returned by plan_create.
plan_stopRequest the plan generation to stop. Pass the plan_id (the UUID returned by plan_create). Stopping is asynchronous: the stop flag is set immediately but the plan may continue briefly before halting. A stopped plan will transition to the stopped state. If the plan is already co...1 params
Request the plan generation to stop. Pass the plan_id (the UUID returned by plan_create). Stopping is asynchronous: the stop flag is set immediately but the plan may continue briefly before halting. A stopped plan will transition to the stopped state. If the plan is already co...
Parameters* required
plan_idstringPlan UUID returned by plan_create. Use it to stop the plan creation.
plan_retryRetry a plan that is currently in failed or stopped state. Pass the plan_id and optionally model_profile (defaults to baseline). The plan is reset to pending, prior artifacts are cleared, and the same plan_id is requeued for processing. Returns PLAN_NOT_FOUND when plan_id is u...2 params
Retry a plan that is currently in failed or stopped state. Pass the plan_id and optionally model_profile (defaults to baseline). The plan is reset to pending, prior artifacts are cleared, and the same plan_id is requeued for processing. Returns PLAN_NOT_FOUND when plan_id is u...
Parameters* required
plan_idstringUUID of the failed plan to retry.
model_profilestringModel profile used for retry. Defaults to baseline.one of
baseline · premium · frontier · customdefault: baselineplan_resumeResume a failed or stopped plan without discarding completed intermediary files. Plan generation restarts from the first incomplete step, skipping all steps that already produced output files. Use plan_resume when plan_status shows 'failed' or 'stopped' and plan generation was...2 params
Resume a failed or stopped plan without discarding completed intermediary files. Plan generation restarts from the first incomplete step, skipping all steps that already produced output files. Use plan_resume when plan_status shows 'failed' or 'stopped' and plan generation was...
Parameters* required
plan_idstringUUID of the failed plan to resume.
model_profilestringModel profile used for the resumed plan. Defaults to baseline.one of
baseline · premium · frontier · customdefault: baselineplan_file_infoReturns file metadata (content_type, download_url, download_size, expires_at) for the report or zip artifact. Use artifact='report' (default) for the interactive HTML report (~700KB, self-contained with embedded JS for collapsible sections and interactive Gantt charts — open i...2 params
Returns file metadata (content_type, download_url, download_size, expires_at) for the report or zip artifact. Use artifact='report' (default) for the interactive HTML report (~700KB, self-contained with embedded JS for collapsible sections and interactive Gantt charts — open i...
Parameters* required
plan_idstringPlan UUID returned by plan_create. Use it to download the created plan.
artifactstringDownload artifact type: report or zip.one of
report · zipdefault: reportplan_listList the most recent plans for an authenticated user. Returns up to `limit` plans (default 10, max 50) newest-first, each with plan_id, state, progress_percentage, created_at (ISO 8601), and a prompt_excerpt (first 100 chars). Use this to recover a lost plan_id or to review re...1 params
List the most recent plans for an authenticated user. Returns up to `limit` plans (default 10, max 50) newest-first, each with plan_id, state, progress_percentage, created_at (ISO 8601), and a prompt_excerpt (first 100 chars). Use this to recover a lost plan_id or to review re...
Parameters* required
limitintegerMaximum number of plans to return (1–50). Newest plans are returned first.default: 10
send_feedbackSubmit feedback about PlanExe — issues, impressions, or suggestions. Callable at any point in the workflow; fire-and-forget, never blocks. Use category to classify: mcp (MCP tools, SSE, plan_status, workflow), plan (the generated output files), code (PlanExe source), docs (doc...4 params
Submit feedback about PlanExe — issues, impressions, or suggestions. Callable at any point in the workflow; fire-and-forget, never blocks. Use category to classify: mcp (MCP tools, SSE, plan_status, workflow), plan (the generated output files), code (PlanExe source), docs (doc...
Parameters* required
ratingvalueSentiment: 1=strong negative, 2=weak negative, 3=neutral, 4=weak positive, 5=strong positive.
messagestringFree-text feedback. Include environment context if reporting an issue.
plan_idvalueOptional plan UUID to attach this feedback to.
categorystringFeedback category: mcp, plan, code, docs, or other.
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
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
The planning pipeline can use cloud models or run with local models so sensitive project material can remain on systems you control.
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 in the browser. No installation is required.
Why run PlanExe on your own infrastructure?
Some project data should not be sent to third-party services. Running PlanExe with local models can help you:
- Keep trade secrets, confidential strategies, and sensitive project material within systems you control
- Work offline or inside an air-gapped environment
- Continue planning when a model provider is unavailable in your country
- Reduce dependence on vendor censorship, changing usage policies, account restrictions, pricing changes, or service shutdowns
- Choose models that fit your language, values, hardware, and project
- Preserve access to your planning process and editable project files over time
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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