design_automation_stack
Route a vague workflow into a concrete automation architecture.
Remote MCP + API for practical AI automation design
Turn “automate this” into a real agent workflow.
Most agent requests fail because they skip tool routing, inputs, human boundaries, and QA. This MCP returns the stack, command, dry-run path, validation checks, and recovery plan before an agent builds another empty shell.
InputPlain-language workflow
“I need Gmail + Docs follow-up automation” or “Build an Obsidian learning cleanup flow.”
OutputTool stack + prompt
Installed plugin/MCP/skill route, copy-paste command, dry-run, QA, and boundary.
StandardNo-shell validation
PASS only when the workflow reaches a usable sample result with evidence.
Live API preview
Describe one workflow.
The response is deterministic and free: no external model call, no secret, no account action.
MCP tools
generate_no_shell_prompt
Create a copy-paste command for Codex, Claude, Gemini, or another agent.
recommend_agent_tools
Choose plugins, MCPs, skills, and manual boundaries for the job.
audit_automation_plan
Score an existing plan for shell-risk and missing execution pieces.
build_validation_pack
Return dry-run, QA, audit, and PASS criteria.
build_customer_intake
Generate a 10-minute intake for non-developers.