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ServiceNow MCP Server

by javerthl

list_knowledge_bases

Retrieve a list of knowledge bases from ServiceNow with filtering options for active status, search queries, and pagination controls.

Instructions

List knowledge bases from ServiceNow

Input Schema

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

Implementation Reference

  • Main handler function implementing the list_knowledge_bases tool logic, querying ServiceNow API for knowledge bases.
    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 input schema defining parameters for the list_knowledge_bases tool.
    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")
  • Tool registration in get_tool_definitions() mapping name to handler, schema, description for MCP server.
    "list_knowledge_bases": ( list_knowledge_bases_tool, ListKnowledgeBasesParams, Dict[str, Any], # Expects dict "List knowledge bases from ServiceNow", "raw_dict", # Tool returns raw dict ),
  • Export of list_knowledge_bases in tools package __all__ for easy import.
    "list_knowledge_bases",
  • Import alias of the handler function used in tool registration.
    # list_categories aliased in function call list_knowledge_bases as list_knowledge_bases_tool, )

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