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JLKmach

ServiceNow MCP Server

by JLKmach

list_knowledge_bases

Retrieve available knowledge bases from ServiceNow to access documentation, articles, and support resources for troubleshooting and information lookup.

Instructions

List knowledge bases from ServiceNow

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of knowledge bases to return
offsetNoOffset for pagination
activeNoFilter by active status
queryNoSearch query for knowledge bases

Implementation Reference

  • The handler function that implements the core logic for listing knowledge bases from ServiceNow, including API calls, query building, error handling, and response transformation.
    def list_knowledge_bases( config: ServerConfig, auth_manager: AuthManager, params: ListKnowledgeBasesParams, ) -> Dict[str, Any]: """ List knowledge bases with filtering options. Args: config: Server configuration. auth_manager: Authentication manager. params: Parameters for listing knowledge bases. Returns: Dictionary with list of knowledge bases and metadata. """ api_url = f"{config.api_url}/table/kb_knowledge_base" # Build query parameters query_params = { "sysparm_limit": params.limit, "sysparm_offset": params.offset, "sysparm_display_value": "true", } # Build query string query_parts = [] if params.active is not None: query_parts.append(f"active={str(params.active).lower()}") if params.query: query_parts.append(f"titleLIKE{params.query}^ORdescriptionLIKE{params.query}") if query_parts: query_params["sysparm_query"] = "^".join(query_parts) # Make request try: response = requests.get( api_url, params=query_params, headers=auth_manager.get_headers(), timeout=config.timeout, ) response.raise_for_status() # Get the JSON response json_response = response.json() # Safely extract the result if isinstance(json_response, dict) and "result" in json_response: result = json_response.get("result", []) else: logger.error("Unexpected response format: %s", json_response) return { "success": False, "message": "Unexpected response format", "knowledge_bases": [], "count": 0, "limit": params.limit, "offset": params.offset, } # Transform the results - create a simpler structure knowledge_bases = [] # Handle either string or list if isinstance(result, list): for kb_item in result: if not isinstance(kb_item, dict): logger.warning("Skipping non-dictionary KB item: %s", kb_item) continue # Safely extract values kb_id = kb_item.get("sys_id", "") title = kb_item.get("title", "") description = kb_item.get("description", "") # Extract nested values safely owner = "" if isinstance(kb_item.get("owner"), dict): owner = kb_item["owner"].get("display_value", "") managers = "" if isinstance(kb_item.get("kb_managers"), dict): managers = kb_item["kb_managers"].get("display_value", "") active = False if kb_item.get("active") == "true": active = True created = kb_item.get("sys_created_on", "") updated = kb_item.get("sys_updated_on", "") knowledge_bases.append({ "id": kb_id, "title": title, "description": description, "owner": owner, "managers": managers, "active": active, "created": created, "updated": updated, }) else: logger.warning("Result is not a list: %s", result) return { "success": True, "message": f"Found {len(knowledge_bases)} knowledge bases", "knowledge_bases": knowledge_bases, "count": len(knowledge_bases), "limit": params.limit, "offset": params.offset, } except requests.RequestException as e: logger.error(f"Failed to list knowledge bases: {e}") return { "success": False, "message": f"Failed to list knowledge bases: {str(e)}", "knowledge_bases": [], "count": 0, "limit": params.limit, "offset": params.offset, }
  • Pydantic model defining the input parameters for the list_knowledge_bases tool, including pagination and filtering options.
    class ListKnowledgeBasesParams(BaseModel): """Parameters for listing knowledge bases.""" limit: int = Field(10, description="Maximum number of knowledge bases to return") offset: int = Field(0, description="Offset for pagination") active: Optional[bool] = Field(None, description="Filter by active status") query: Optional[str] = Field(None, description="Search query for knowledge bases")
  • Registration of the list_knowledge_bases tool in the central tool definitions dictionary, mapping name to implementation, params schema, description, and serialization settings.
    "list_knowledge_bases": ( list_knowledge_bases_tool, ListKnowledgeBasesParams, Dict[str, Any], # Expects dict "List knowledge bases from ServiceNow", "raw_dict", # Tool returns raw dict ),

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