OpenClaw skill for connecting to PlanExe via Model Context Protocol. Supports three deployment scenarios: cloud-hosted service, remote Docker, and local Docker.
Access PlanExe's powerful planning capabilities directly from OpenClaw via the Model Context Protocol (MCP).
The planexe-mcp skill provides a unified interface to interact with PlanExe across three deployment scenarios:
mcp.planexe.org (Stripe credits at home.planexe.org)Connect to the hosted PlanExe MCP service.
Configuration:
Add to your OpenClaw config or environment:
PLANEXE_MCP_URL=https://mcp.planexe.org
PLANEXE_API_KEY=your_api_key_from_planexe_account
How to Get Your API Key:
Run PlanExe in Docker on a separate machine and connect remotely.
On the Remote Machine:
docker run -p 8001:8001 planexe/planexe:latest
Configuration in OpenClaw:
PLANEXE_MCP_URL=http://<remote-ip>:8001
PLANEXE_API_KEY=your_api_key
Replace <remote-ip> with your remote machine's IP address or hostname.
Run PlanExe in Docker on the same machine as OpenClaw.
Setup:
docker run -p 8001:8001 planexe/planexe:latest
Configuration in OpenClaw:
PLANEXE_MCP_URL=http://127.0.0.1:8001
PLANEXE_API_KEY=your_api_key
The PlanExe MCP exposes nine core tools via the /mcp endpoint:
example_plansPreview curated example plans with download links for reports and zip bundles.
No parameters required:
{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "example_plans",
"arguments": {}
}
}
Returns: List of example plans with title, report_url, and zip_url.
example_promptsGet example prompts to understand what PlanExe can do.
No parameters required:
{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "example_prompts",
"arguments": {}
}
}
Returns: List of example prompts for planning tasks.
plan_createCreate a new planning task. This is the main entry point for generating plans.
Parameters:
{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "plan_create",
"arguments": {
"prompt": "Create a project launch plan for Q2 2026",
"model_profile": "premium",
"start_date": "2026-04-01T20:55:00+02:00",
"user_api_key": "your_optional_api_key"
}
}
}
Parameter Guide:
prompt (required): Your planning request in natural language. Write as flowing prose (not structured markdown), typically 300-800 words.model_profile (optional): One of "baseline", "premium", "frontier", or "custom". Defaults to "baseline".start_date (optional): Plan start date in ISO 8601 format with timezone offset (e.g. "2026-04-01T20:55:00+02:00"). When omitted, the plan starts now.user_api_key (optional): Your PlanExe API key (if not set in environment)Returns: task_id for polling status and retrieving results.
plan_statusPoll the status of a running planning task.
Parameters:
{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "plan_status",
"arguments": {
"task_id": "task_abc123def456"
}
}
}
Usage: Planning tasks typically take 10-20 minutes (baseline profile). Poll every 5+ minutes to check progress.
Returns: Current status (pending, processing, completed, failed), and progress percentage.
plan_stopStop a running planning task.
Parameters:
{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "plan_stop",
"arguments": {
"task_id": "task_abc123def456"
}
}
}
Returns: Confirmation that the task has been stopped.
model_profilesReturn available model profiles and their guidance before calling plan_create.
No required parameters:
{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "model_profiles",
"arguments": {}
}
}
Returns: Available model profiles (baseline, premium, frontier, custom) with descriptions and currently loaded models.
plan_file_infoRetrieve download information for completed plan artifacts.
Parameters:
{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "plan_file_info",
"arguments": {
"task_id": "task_abc123def456",
"artifact": "report"
}
}
}
Artifact Options:
"report": Interactive HTML report (~700KB, self-contained — open in a browser)"zip": Pipeline output bundle (md, json, csv intermediary files)Returns: download_url for accessing the artifact.
plan_listList recent tasks for an authenticated user. Useful for recovering a lost task_id.
Parameters:
{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "plan_list",
"arguments": {
"user_api_key": "pex_your_key_here",
"limit": 10
}
}
}
Returns: List of recent tasks with task_id, state, progress_percentage, created_at, and prompt_excerpt.
plan_retryRetry a failed task with an optional upgraded model profile.
Parameters:
{
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"name": "plan_retry",
"arguments": {
"task_id": "task_abc123def456",
"model_profile": "premium"
}
}
}
Returns: Confirmation that the task was requeued to pending state.
example_plans to preview what PlanExe output looks likeexample_prompts to understand available planning scenariosmodel_profiles to choose an appropriate model_profileplan_create with your prompt and parameters → receives task_idplan_status every 5+ minutes until status is completed or failedfailed, optionally call plan_retry to requeue with a stronger modelplan_file_info with completed task_id to get download linktask_id, call plan_list with your user_api_key to recover itRefer to the PlanExe API documentation for extended examples and advanced use cases.
| Variable | Example | Description |
|---|---|---|
PLANEXE_MCP_URL | https://mcp.planexe.org | MCP endpoint URL |
PLANEXE_API_KEY | pk_live_abc123... | API authentication key |
Connection Refused
PLANEXE_MCP_URL is correctdocker ps)Authentication Failed
PLANEXE_API_KEY is validTimeout Errors
Docker Issues (Local/Remote)
docker --versiondocker logs <container-id>lsof -i :8001 (macOS/Linux)For issues or questions:
This skill is part of PlanExe and is available under the same license as the PlanExe project.