get_workflow_info
Extract structural metadata from ComfyUI workflows by parsing DSL content to identify node types, sections, and connections without execution.
Instructions
Analyze workflow structure and return metadata.
Parses DSL and extracts structural information like node types, sections, and connections without executing the workflow.
Args: dsl: Workflow content in DSL format
Returns: Workflow metadata including nodes, sections, and connections
Examples: get_workflow_info(dsl_content)
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| dsl | Yes |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Implementation Reference
- comfy_mcp/mcp/server.py:279-345 (handler)The MCP tool handler for 'get_workflow_info'. Parses the input DSL string using DSLParser, traverses the workflow AST to collect information on nodes, sections, and connections, and returns a structured dictionary with analysis results including counts and details.
@mcp.tool def get_workflow_info(dsl: str) -> dict: """Analyze workflow structure and return metadata. Parses DSL and extracts structural information like node types, sections, and connections without executing the workflow. Args: dsl: Workflow content in DSL format Returns: Workflow metadata including nodes, sections, and connections Examples: get_workflow_info(dsl_content) """ try: parser = DSLParser() workflow_ast = parser.parse(dsl) # Collect node information node_types = [] sections = [] connections = [] for section in workflow_ast.sections: section_info = { "name": section.header, "node_count": len(section.nodes), "nodes": [] } for node in section.nodes: node_types.append(node.node_type) section_info["nodes"].append({ "name": node.name, "type": node.node_type, "property_count": len(node.properties) }) # Find connections for prop in node.properties: if isinstance(prop.value, Connection): connections.append({ "from": prop.value.node, "output": prop.value.output, "to": node.name, "input": prop.name }) sections.append(section_info) # Count unique node types node_type_counts = dict(Counter(node_types)) return { "node_count": len(node_types), "section_count": len(sections), "connection_count": len(connections), "node_types": node_type_counts, "sections": sections, "connections": connections } except Exception as e: raise ToolError(f"Error analyzing workflow: {e}")