Data Intelligence MCP Server

# Copyright [2025] [IBM] # Licensed under the Apache License, Version 2.0 (http://www.apache.org/licenses/LICENSE-2.0) # See the LICENSE file in the project root for license information. # This file has been modified with the assistance of IBM Bob AI tool from app.core.registry import prompt_registry @prompt_registry.prompt( name="Search Assets prompt", description="Get guidance on how to search for data assets effectively" ) def search_guide_prompt( search_query: str, container_type: str = "catalog" ) -> str: """ Provides guidance on searching for data assets in catalog or project. This prompt helps users understand how to effectively search for data assets and provides a structured approach to finding what they need. Args: search_query: Search term to find assets. Can be a keyword or phrase (e.g., "STOCKS", "customer data"). The search can find semantically equivalent terms in asset names, descriptions, and metadata. container_type: The container type in which to search assets, defaults to catalog. Valid values are: 'catalog' (organization-wide search) or 'project' (project-specific search) """ prompt_content = f"""I need help finding data assets in our catalog. Search term: {search_query} Search scope: {container_type or 'catalog'} Please help me: 1. Understand what types of assets might match my search term (tables, columns, datasets, etc.) 2. Suggest the best search terms and approach 3. Guide me on using the search_asset tool with the right parameters 4. Explain what information I'll get back and how to use it Provide clear, actionable guidance to help me find what I need.""" return prompt_content