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vparlapalli490

ServiceNow MCP Server

commit_changeset

Commit a changeset in ServiceNow to finalize configuration changes with an optional message.

Instructions

Commit a changeset in ServiceNow

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
changeset_idYesChangeset ID or sys_id
commit_messageNoCommit message

Implementation Reference

  • Main execution logic for the 'commit_changeset' tool: validates input parameters, prepares a PATCH request to update the changeset state to 'complete' in ServiceNow's sys_update_set table, optionally sets description as commit message, and returns success/error response.
    def commit_changeset(
        auth_manager: AuthManager,
        server_config: ServerConfig,
        params: Union[Dict[str, Any], CommitChangesetParams],
    ) -> Dict[str, Any]:
        """
        Commit a changeset in ServiceNow.
    
        Args:
            auth_manager: The authentication manager.
            server_config: The server configuration.
            params: The parameters for committing a changeset. Can be a dictionary or a CommitChangesetParams object.
    
        Returns:
            The committed changeset.
        """
        # Unwrap and validate parameters
        result = _unwrap_and_validate_params(
            params, 
            CommitChangesetParams, 
            required_fields=["changeset_id"]
        )
        
        if not result["success"]:
            return result
        
        validated_params = result["params"]
        
        # Prepare the request data
        data = {
            "state": "complete",
        }
        
        # Add commit message if provided
        if validated_params.commit_message:
            data["description"] = validated_params.commit_message
        
        # Get the instance URL
        instance_url = _get_instance_url(auth_manager, server_config)
        if not instance_url:
            return {
                "success": False,
                "message": "Cannot find instance_url in either server_config or auth_manager",
            }
        
        # Get the headers
        headers = _get_headers(auth_manager, server_config)
        if not headers:
            return {
                "success": False,
                "message": "Cannot find get_headers method in either auth_manager or server_config",
            }
        
        # Add Content-Type header
        headers["Content-Type"] = "application/json"
        
        # Make the API request
        url = f"{instance_url}/api/now/table/sys_update_set/{validated_params.changeset_id}"
        
        try:
            response = requests.patch(url, json=data, headers=headers)
            response.raise_for_status()
            
            result = response.json()
            
            return {
                "success": True,
                "message": "Changeset committed successfully",
                "changeset": result["result"],
            }
        except requests.exceptions.RequestException as e:
            logger.error(f"Error committing changeset: {e}")
            return {
                "success": False,
                "message": f"Error committing changeset: {str(e)}",
            }
  • Pydantic BaseModel defining the input schema for the commit_changeset tool, with required 'changeset_id' and optional 'commit_message'.
    class CommitChangesetParams(BaseModel):
        """Parameters for committing a changeset."""
    
        changeset_id: str = Field(..., description="Changeset ID or sys_id")
        commit_message: Optional[str] = Field(None, description="Commit message")
  • MCP tool registration in get_tool_definitions(): maps 'commit_changeset' to its handler function (commit_changeset_tool), input schema (CommitChangesetParams), return type hint (str), description, and serialization method.
    "commit_changeset": (
        commit_changeset_tool,
        CommitChangesetParams,
        str,
        "Commit a changeset in ServiceNow",
        "str",  # Tool returns simple message
    ),
  • Import and alias of the commit_changeset handler as commit_changeset_tool for use in tool registration.
    commit_changeset as commit_changeset_tool,
  • Shared helper function used by commit_changeset (and other tools) to validate and unwrap input parameters against the Pydantic schema, checking required fields.
    def _unwrap_and_validate_params(
        params: Union[Dict[str, Any], BaseModel], 
        model_class: Type[T], 
        required_fields: Optional[List[str]] = None
    ) -> Dict[str, Any]:
        """
        Unwrap and validate parameters.
    
        Args:
            params: The parameters to unwrap and validate. Can be a dictionary or a Pydantic model.
            model_class: The Pydantic model class to validate against.
            required_fields: List of fields that must be present.
    
        Returns:
            A dictionary with success status and validated parameters or error message.
        """
        try:
            # Handle case where params is already a Pydantic model
            if isinstance(params, BaseModel):
                # If it's already the correct model class, use it directly
                if isinstance(params, model_class):
                    model_instance = params
                # Otherwise, convert to dict and create new instance
                else:
                    model_instance = model_class(**params.dict())
            # Handle dictionary case
            else:
                # Create model instance
                model_instance = model_class(**params)
            
            # Check required fields
            if required_fields:
                missing_fields = []
                for field in required_fields:
                    if getattr(model_instance, field, None) is None:
                        missing_fields.append(field)
                
                if missing_fields:
                    return {
                        "success": False,
                        "message": f"Missing required fields: {', '.join(missing_fields)}",
                    }
            
            return {
                "success": True,
                "params": model_instance,
            }
        except Exception as e:
            return {
                "success": False,
                "message": f"Invalid parameters: {str(e)}",
            }

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