MCP-Creator-MCP

Instructions

Implementation Reference

• main.py:248-279 (handler)

  MCP tool handler for 'save_workflow'. Registers the tool and implements the logic by delegating to the workflow_engine instance from the request context.
  @mcp.tool() async def save_workflow( ctx: Context, name: str, description: str, steps: list[dict], ) -> str: """ Save a creation workflow for reuse. Args: name: Workflow name description: Workflow description steps: list of workflow steps Returns: Confirmation message """ try: workflow_engine = ctx.request_context.lifespan_context["workflow_engine"] workflow_id = await workflow_engine.save_workflow( name=name, description=description, steps=steps, ) return f"✅ Workflow '{name}' saved successfully (ID: {workflow_id})" except Exception as e: logger.error(f"Failed to save workflow: {e}") return f"❌ Error saving workflow: {str(e)}"
• src/mcp_creator/workflows/workflow_engine.py:82-105 (helper)

  Core helper method in WorkflowEngine class that implements the actual workflow saving logic, including ID generation, object creation, in-memory storage, and persistence to disk.
  async def save_workflow( self, name: str, description: str, steps: list[dict[str, Any]], ) -> str: """Save workflow with automatic ID generation.""" workflow_id = str(uuid4())[:8] # Convert step dictionaries to WorkflowStep objects workflow_steps = [WorkflowStep(**step) for step in steps] workflow = Workflow( name=name, description=description, steps=workflow_steps, ) # Save to memory and disk self.workflows[workflow_id] = workflow await self._persist_workflow(workflow_id, workflow) logger.info(f"Saved workflow: {name} ({workflow_id})") return workflow_id
• main.py:248-248 (registration)

  The @mcp.tool() decorator registers the save_workflow function as an MCP tool.
  @mcp.tool()