run_graph_workflow

Auto-generated from the registered MCP tool descriptions and input schemas. Do not edit by hand — run pnpm docs:tools to regenerate.

Run a DAG-shaped workflow with per-node checkpoints, event streaming, and an audit trail. Checkpoints drive the executor in-process recovery (crash-resume + selective node retry) and inspection — the MCP call is fire-and-forget with NO caller resume input, and the checkpoint store is in-memory (not durable across process restarts). For straight linear templates, use run_workflow instead. The security-audit, test-generation and documentation templates run local heuristic keyword checks and call no model. Their steps are labelled [heuristic] (#6676). Supports dispatch: ‘async’ — returns a jobId immediately; poll get_job_result.

Parameters

Parameter Type Required Constraints Description
workflow string yes minLength 1; maxLength 100 Name of the predefined graph workflow to execute
inputs object no default {} Input values for the workflow
enableCheckpointing boolean no default true Enable checkpoint saving between steps
enableAuditTrail boolean no default false Enable audit trail event logging
dispatch enum no one of: sync | async; default sync Async dispatch (#4968). ‘sync’ (default): run inline and return the result. ‘async’: return { status: ‘pending’, jobId } immediately and run in the background; poll get_job_result({ jobId }). Ignored for the list sentinel.
mode never no — Not an input of this tool. The async switch is dispatch; mode: 'async' is rejected (#4968).