An MCP-native workflow engine that teaches your agent how you like to get things done.
An MCP-native workflow engine that teaches your agent how you like to get things done.
Progi teaches your agent how you like to get things done. So you can do your best work without re-explaining your process or losing context between sessions.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| create_task | Create a new task under a given workflow (status todo); returns a preview of its first step |
| list_tasks | List tasks, optionally filtered by status and/or workflow |
| start_or_continue_task | Main work-loop entry point — starts or resumes a task and returns the current step's playbook, input data, and output spec |
| update_progress_notes | Overwrite a task's progress notes (mid-step save point) |
| finish_step | Mark the current step complete, store its output, and advance to the next step (or mark done) |
| get_process_skeleton_prompt | Return the Pass 1 system prompt for turning a plain-language description into a structured workflow skeleton |
| get_playbook_authoring_prompt | Return the Pass 2 system prompt for authoring a step's playbook (injects workflow context) |
| save_workflow | Persist a new workflow, its steps, and playbooks |
| list_workflows | Return all workflows with their ordered steps |
{
"mcpServers": {
"progi": {
"command": "uvx",
"args": [
"progi"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
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