diff --git a/modelcontextprotocol/pyproject.toml b/modelcontextprotocol/pyproject.toml index b10b084..0e7567b 100644 --- a/modelcontextprotocol/pyproject.toml +++ b/modelcontextprotocol/pyproject.toml @@ -16,8 +16,9 @@ classifiers = [ ] dependencies = [ - "fastmcp==2.11.0", + "fastmcp==2.13.0.2", "pyatlan>=6.0.1", + "uvicorn>=0.38.0" ] [project.scripts] diff --git a/modelcontextprotocol/server.py b/modelcontextprotocol/server.py index e8a29fd..f169b10 100644 --- a/modelcontextprotocol/server.py +++ b/modelcontextprotocol/server.py @@ -8,6 +8,7 @@ get_assets_by_dsl, traverse_lineage, update_assets, + get_custom_metadata_context, create_glossary_category_assets, create_glossary_assets, create_glossary_term_assets, @@ -62,9 +63,13 @@ def search_assets_tool( """ Advanced asset search using FluentSearch with flexible conditions. + Custom metadata can be referenced directly in conditions using the format "SetName.AttributeName". + Use display names (not internal names) for custom metadata. Format: "Display Set Name.Display Attribute Name" + Args: conditions (Dict[str, Any], optional): Dictionary of attribute conditions to match. Format: {"attribute_name": value} or {"attribute_name": {"operator": operator, "value": value}} + Custom metadata: {"SetName.AttributeName": value} or {"SetName.AttributeName": {"operator": "eq", "value": value}} negative_conditions (Dict[str, Any], optional): Dictionary of attribute conditions to exclude. Format: {"attribute_name": value} or {"attribute_name": {"operator": operator, "value": value}} some_conditions (Dict[str, Any], optional): Conditions for where_some() queries that require min_somes of them to match. @@ -74,6 +79,21 @@ def search_assets_tool( Can be string attribute names or AtlanField objects. asset_type (Union[Type[Asset], str], optional): Type of asset to search for. Either a class (e.g., Table, Column) or a string type name (e.g., "Table", "Column") + + Operators: + - "eq": Equals (supports case_insensitive) + - "neq": Not equals (supports case_insensitive) + - "startswith": Starts with (supports case_insensitive) + - "contains": Contains (supports case_insensitive) + - "match": Full text match + - "gt": Greater than + - "gte": Greater than or equal + - "lt": Less than + - "lte": Less than or equal + - "between": Between two values (value must be [start, end]) + - "within": Value is within a list + - "has_any_value": Attribute has any value (useful in negative_conditions) + include_archived (bool): Whether to include archived assets. Defaults to False. limit (int, optional): Maximum number of results to return. Defaults to 10. offset (int, optional): Offset for pagination. Defaults to 0. @@ -110,6 +130,56 @@ def search_assets_tool( include_attributes=["owner_users", "owner_groups"] ) + # Search for assets with custom metadata + # Use nested "custom_metadata" key for clarity + # Use display names: "Display Set Name.Display Attribute Name" + assets = search_assets( + conditions={ + "certificate_status": CertificateStatus.VERIFIED.value, + "custom_metadata": { + "Business Ownership.Business Owner": "John" + } + } + ) + + # Search for assets with custom metadata using operators + # Use display names: "Display Set Name.Display Attribute Name" + assets = search_assets( + conditions={ + "custom_metadata": { + "Data Quality.Quality Score": { + "operator": "gt", + "value": 80 + }, + "Data Classification.Sensitivity Level": { + "operator": "eq", + "value": "sensitive", + "case_insensitive": True + } + } + } + ) + + # Search with multiple custom metadata and standard conditions + # Use display names: "Display Set Name.Display Attribute Name" + assets = search_assets( + asset_type="Table", + conditions={ + "name": { + "operator": "startswith", + "value": "customer_" + }, + "custom_metadata": { + "Data Governance.Data Owner": "John Smith", + "Data Governance.Retention Period": { + "operator": "gte", + "value": 365 + } + } + } + ) + + # Search for columns with specific certificate status columns = search_assets( asset_type="Column", @@ -694,6 +764,52 @@ def create_glossary_categories(categories) -> List[Dict[str, Any]]: return create_glossary_category_assets(categories) +@mcp.tool() +def get_custom_metadata_context_tool() -> Dict[str, Any]: + """ + Fetch all available custom metadata (business metadata) definitions from the Atlan instance. + + This tool returns information about all custom metadata sets and their attributes, + including attribute names, data types, descriptions, and enum values (if applicable). + + Use this tool to discover what custom metadata is available before searching for assets + with custom metadata filters. + + Returns: + Dict[str, Any]: Dictionary containing: + - context: Description of the returned data + - custom_metadata_results: List of custom metadata definitions, each containing: + - prompt: Formatted string with metadata name and attributes + - metadata: Dictionary with: + - name: Internal name of the custom metadata set + - display_name: Display name of the custom metadata set + - description: Description of the custom metadata set + - attributes: List of attribute definitions with name, display_name, data_type, + description, and optional enumEnrichment (with allowed values) + - id: GUID of the custom metadata definition + + Example: + # Get available custom metadata + context = get_custom_metadata_context_tool() + + # The response will show custom metadata sets like "Data Classification", "Business Ownership", etc. + # Use display names (not internal names) in search_assets_tool with the format "Display Set Name.Display Attribute Name": + + assets = search_assets_tool( + conditions={ + "custom_metadata": { + "Data Classification.Sensitivity Level": "sensitive", + "Business Ownership.Business Owner": "John Smith" + } + } + ) + """ + try: + return get_custom_metadata_context() + except Exception as e: + return {"error": f"Error getting custom metadata context: {str(e)}"} + + def main(): mcp.run() diff --git a/modelcontextprotocol/settings.py b/modelcontextprotocol/settings.py index a1c4ab6..c6f4b15 100644 --- a/modelcontextprotocol/settings.py +++ b/modelcontextprotocol/settings.py @@ -1,6 +1,7 @@ """Configuration settings for the application.""" from pydantic_settings import BaseSettings + from version import __version__ as MCP_VERSION diff --git a/modelcontextprotocol/tools/__init__.py b/modelcontextprotocol/tools/__init__.py index 5e057c5..81dbf5a 100644 --- a/modelcontextprotocol/tools/__init__.py +++ b/modelcontextprotocol/tools/__init__.py @@ -2,6 +2,7 @@ from .dsl import get_assets_by_dsl from .lineage import traverse_lineage from .assets import update_assets +from .custom_metadata_context import get_custom_metadata_context from .glossary import ( create_glossary_category_assets, create_glossary_assets, @@ -21,6 +22,7 @@ "get_assets_by_dsl", "traverse_lineage", "update_assets", + "get_custom_metadata_context", "create_glossary_category_assets", "create_glossary_assets", "create_glossary_term_assets", diff --git a/modelcontextprotocol/tools/custom_metadata_context.py b/modelcontextprotocol/tools/custom_metadata_context.py new file mode 100644 index 0000000..cc55350 --- /dev/null +++ b/modelcontextprotocol/tools/custom_metadata_context.py @@ -0,0 +1,162 @@ +import logging +from typing import Any, Dict, List +from client import get_atlan_client +from pyatlan.cache.custom_metadata_cache import CustomMetadataCache +from pyatlan.cache.enum_cache import EnumCache + +logger = logging.getLogger(__name__) + + +def process_custom_metadata( + cm_def: Any, + enum_cache: EnumCache, +) -> Dict[str, Any]: + """ + Generates context prompt for a given Atlan business metadata definition. + + Args: + cm_def: CustomMetadataDef object from PyAtlan + enum_cache: EnumCache instance for enriching enum attributes + + Returns: + Dictionary containing prompt, metadata details, and id + """ + cm_name = cm_def.name or "" + cm_display_name = cm_def.display_name or "" + description = cm_def.description or "No description available." + guid = cm_def.guid + + # For prompt: comma separated attribute names and descriptions + attributes_list_for_prompt: List[str] = [] + parsed_attributes_for_metadata: List[Dict[str, Any]] = [] + + if not cm_def.attribute_defs: + attributes_str_for_prompt = "None" + metadata: Dict[str, Any] = { + "name": cm_name, + "display_name": cm_display_name, + "description": description, + "attributes": [], + } + prompt = f"""{cm_display_name}|{description}|{attributes_str_for_prompt}""" + return {"prompt": prompt, "metadata": metadata, "id": guid} + + for attr_def in cm_def.attribute_defs: + attr_name = attr_def.display_name or attr_def.name or "Unnamed attribute" + attr_desc = attr_def.description or "No description" + attributes_list_for_prompt.append(f"{attr_name}:{attr_desc}") + + base_description = attr_def.description or "" + enhanced_description = base_description + enum_enrichment = None + + # Check if attribute is an enum type and enrich with enum values + if attr_def.options and attr_def.options.is_enum: + enum_type = attr_def.options.enum_type + if enum_type: + try: + enum_def = enum_cache.get_by_name(enum_type) + if enum_def and enum_def.element_defs: + enum_values = [ + elem.value for elem in enum_def.element_defs if elem.value + ] + if enum_values: + quoted_values = ", ".join( + [f"'{value}'" for value in enum_values] + ) + description_with_allowed_values = f"{base_description} This attribute can have enum values: {quoted_values}.".strip() + enhanced_description = description_with_allowed_values + + # Create enum enrichment data - only include values field + enum_enrichment = { + "values": enum_values, + } + except Exception as e: + logger.debug(f"Could not enrich enum type {enum_type}: {e}") + enum_enrichment = None + + attribute_metadata = { + "name": attr_def.name, + "display_name": attr_def.display_name, + "data_type": attr_def.type_name, + "description": enhanced_description, + } + + if enum_enrichment: + attribute_metadata["enumEnrichment"] = enum_enrichment + + parsed_attributes_for_metadata.append(attribute_metadata) + + attributes_str_for_prompt = ( + ", ".join(attributes_list_for_prompt) if attributes_list_for_prompt else "None" + ) + + metadata: Dict[str, Any] = { + "name": cm_name, + "display_name": cm_display_name, + "description": description, + "attributes": parsed_attributes_for_metadata, + } + + prompt = f"""{cm_display_name}|{description}|{attributes_str_for_prompt}""" + + return {"prompt": prompt, "metadata": metadata, "id": guid} + + +def get_custom_metadata_context() -> Dict[str, Any]: + """ + Fetch custom metadata context using PyAtlan's native cache classes. + + Returns: + Dictionary containing context and custom metadata results + """ + custom_metadata_results: List[Dict[str, Any]] = [] + + try: + # Get Atlan client + client = get_atlan_client() + + # Initialize caches using PyAtlan's native classes + cm_cache = CustomMetadataCache(client) + enum_cache = EnumCache(client) + + # Get all custom metadata attributes (includes full definitions) + all_custom_attributes = cm_cache.get_all_custom_attributes( + include_deleted=False, force_refresh=True + ) + + # Process each custom metadata set + for set_name in all_custom_attributes.keys(): + try: + # Get the full custom metadata definition + cm_def = cm_cache.get_custom_metadata_def(set_name) + + # Process and enrich with enum data + result = process_custom_metadata(cm_def, enum_cache) + custom_metadata_results.append(result) + + except Exception as e: + logger.warning( + f"Error processing custom metadata set '{set_name}': {e}" + ) + continue + + logger.info( + f"Fetched {len(custom_metadata_results)} custom metadata definitions with enum enrichment." + ) + + except Exception as e: + logger.error( + f"Error fetching custom metadata context: {e}", + exc_info=True, + ) + return { + "context": "Error fetching custom metadata definitions", + "custom_metadata_results": [], + "error": str(e), + } + + return { + "context": "This is the list of custom metadata definitions used in the data catalog to add more information to an asset", + "custom_metadata_results": custom_metadata_results, + } diff --git a/modelcontextprotocol/tools/search.py b/modelcontextprotocol/tools/search.py index 3a1c399..c2eac7d 100644 --- a/modelcontextprotocol/tools/search.py +++ b/modelcontextprotocol/tools/search.py @@ -37,9 +37,12 @@ def search_assets( By default, only essential attributes used in result processing are included. Additional attributes can be specified via include_attributes parameter. + Custom metadata can be referenced in conditions using the format "SetName.AttributeName". + Args: conditions (Dict[str, Any], optional): Dictionary of attribute conditions to match. Format: {"attribute_name": value} or {"attribute_name": {"operator": operator, "value": value}} + Custom metadata: {"SetName.AttributeName": value} or {"SetName.AttributeName": {"operator": "eq", "value": value}} negative_conditions (Dict[str, Any], optional): Dictionary of attribute conditions to exclude. Format: {"attribute_name": value} or {"attribute_name": {"operator": operator, "value": value}} some_conditions (Dict[str, Any], optional): Conditions for where_some() queries that require min_somes of them to match. @@ -131,34 +134,70 @@ def search_assets( if not isinstance(conditions, dict): error_msg = f"Conditions parameter must be a dictionary, got {type(conditions).__name__}" logger.error(error_msg) - return [] + return {"results": [], "aggregations": {}, "error": error_msg} + + # Extract custom metadata conditions if provided explicitly + custom_metadata_conditions = conditions.get("custom_metadata", None) logger.debug(f"Applying positive conditions: {conditions}") + + # Process standard attribute conditions for attr_name, condition in conditions.items(): + # Skip custom_metadata key as it's processed separately + if attr_name == "custom_metadata": + continue attr = SearchUtils._get_asset_attribute(attr_name) if attr is None: logger.warning( f"Unknown attribute: {attr_name}, skipping condition" ) continue - logger.debug(f"Processing condition for attribute: {attr_name}") search = SearchUtils._process_condition( search, attr, condition, attr_name, "where" ) + # Process explicit custom metadata conditions + if custom_metadata_conditions: + if not isinstance(custom_metadata_conditions, dict): + error_msg = f"custom_metadata must be a dictionary, got {type(custom_metadata_conditions).__name__}" + logger.error(error_msg) + return {"results": [], "aggregations": {}, "error": error_msg} + + logger.debug( + f"Applying custom metadata conditions: {custom_metadata_conditions}" + ) + for cm_attr_name, cm_condition in custom_metadata_conditions.items(): + # _get_custom_metadata_field raises ValueError if CM doesn't exist + attr = SearchUtils._get_custom_metadata_field(cm_attr_name) + logger.debug( + f"Processing custom metadata condition for: {cm_attr_name}" + ) + search = SearchUtils._process_condition( + search, attr, cm_condition, cm_attr_name, "where" + ) + # Apply negative conditions if negative_conditions: + # Extract custom metadata negative conditions if provided explicitly + custom_metadata_negative_conditions = negative_conditions.get( + "custom_metadata", None + ) + logger.debug(f"Applying negative conditions: {negative_conditions}") + + # Process standard attribute negative conditions for attr_name, condition in negative_conditions.items(): + # Skip custom_metadata key as it's processed separately + if attr_name == "custom_metadata": + continue attr = SearchUtils._get_asset_attribute(attr_name) if attr is None: logger.warning( f"Unknown attribute for negative condition: {attr_name}, skipping" ) continue - logger.debug( f"Processing negative condition for attribute: {attr_name}" ) @@ -167,24 +206,80 @@ def search_assets( search, attr, condition, attr_name, "where_not" ) + # Process explicit custom metadata negative conditions + if custom_metadata_negative_conditions: + if not isinstance(custom_metadata_negative_conditions, dict): + error_msg = f"custom_metadata in negative_conditions must be a dictionary, got {type(custom_metadata_negative_conditions).__name__}" + logger.error(error_msg) + return {"results": [], "aggregations": {}, "error": error_msg} + + logger.debug( + f"Applying custom metadata negative conditions: {custom_metadata_negative_conditions}" + ) + for ( + cm_attr_name, + cm_condition, + ) in custom_metadata_negative_conditions.items(): + # _get_custom_metadata_field raises ValueError if CM doesn't exist + attr = SearchUtils._get_custom_metadata_field(cm_attr_name) + logger.debug( + f"Processing custom metadata negative condition for: {cm_attr_name}" + ) + search = SearchUtils._process_condition( + search, attr, cm_condition, cm_attr_name, "where_not" + ) + # Apply where_some conditions with min_somes if some_conditions: + # Extract custom metadata some conditions if provided explicitly + custom_metadata_some_conditions = some_conditions.get( + "custom_metadata", None + ) + logger.debug( f"Applying 'some' conditions: {some_conditions} with min_somes={min_somes}" ) + + # Process standard attribute some conditions for attr_name, condition in some_conditions.items(): + # Skip custom_metadata key as it's processed separately + if attr_name == "custom_metadata": + continue attr = SearchUtils._get_asset_attribute(attr_name) if attr is None: logger.warning( f"Unknown attribute for 'some' condition: {attr_name}, skipping" ) continue - logger.debug(f"Processing 'some' condition for attribute: {attr_name}") search = SearchUtils._process_condition( search, attr, condition, attr_name, "where_some" ) + + # Process explicit custom metadata some conditions + if custom_metadata_some_conditions: + if not isinstance(custom_metadata_some_conditions, dict): + error_msg = f"custom_metadata in some_conditions must be a dictionary, got {type(custom_metadata_some_conditions).__name__}" + logger.error(error_msg) + return {"results": [], "aggregations": {}, "error": error_msg} + + logger.debug( + f"Applying custom metadata some conditions: {custom_metadata_some_conditions}" + ) + for ( + cm_attr_name, + cm_condition, + ) in custom_metadata_some_conditions.items(): + # _get_custom_metadata_field raises ValueError if CM doesn't exist + attr = SearchUtils._get_custom_metadata_field(cm_attr_name) + logger.debug( + f"Processing custom metadata 'some' condition for: {cm_attr_name}" + ) + search = SearchUtils._process_condition( + search, attr, cm_condition, cm_attr_name, "where_some" + ) + search = search.min_somes(min_somes) # Apply date range filters @@ -300,4 +395,4 @@ def search_assets( except Exception as e: logger.error(f"Error searching assets: {str(e)}") - return [{"results": [], "aggregations": {}, "error": str(e)}] + return {"results": [], "aggregations": {}, "error": str(e)} diff --git a/modelcontextprotocol/utils/search.py b/modelcontextprotocol/utils/search.py index b69377d..619e7a2 100644 --- a/modelcontextprotocol/utils/search.py +++ b/modelcontextprotocol/utils/search.py @@ -1,11 +1,109 @@ -from typing import Dict, Any import logging +from client import get_atlan_client +from typing import Dict, Any, Optional from pyatlan.model.assets import Asset +from pyatlan.model.fields.atlan_fields import CustomMetadataField logger = logging.getLogger(__name__) class SearchUtils: + CUSTOM_METADATAFIELD_OPERATOR_MAP = { + "eq": lambda custom_metadata_field_class, + value, + ci: custom_metadata_field_class.eq(value, case_insensitive=ci), + "startswith": lambda custom_metadata_field_class, + value, + ci: custom_metadata_field_class.startswith(value, case_insensitive=ci), + "lt": lambda custom_metadata_field_class, value: custom_metadata_field_class.lt( + value + ), + "lte": lambda custom_metadata_field_class, + value: custom_metadata_field_class.lte(value), + "gt": lambda custom_metadata_field_class, value: custom_metadata_field_class.gt( + value + ), + "gte": lambda custom_metadata_field_class, + value: custom_metadata_field_class.gte(value), + "match": lambda custom_metadata_field_class, + value: custom_metadata_field_class.match(value), + "has_any_value": lambda attr: attr.has_any_value(), + "between": lambda custom_metadata_field_class, + value: custom_metadata_field_class.between(value[0], value[1]), + "within": lambda custom_metadata_field_class, + value: custom_metadata_field_class.within(value), + } + + CUSTOM_METADATAFIELD_NO_CASE_INSENSITIVE_OPERATORS = { + "lt", + "lte", + "gt", + "gte", + "match", + "between", + "within", + } + + @staticmethod + def _get_custom_metadata_field(attr_name: str) -> Optional[CustomMetadataField]: + """ + Create a CustomMetadataField for the given attribute name. + + Since custom metadata is now explicitly provided in the "custom_metadata" dict, + we trust the user's intent and create the field directly. + PyAtlan validates if the custom metadata set exists during field creation. + + Args: + attr_name: Attribute name in format "Display Set Name.Display Attribute Name" + Use display names (not internal names) as keys. Format: "Display Set Name.Display Attribute Name" + + Returns: + CustomMetadataField instance or None if invalid format + + Raises: + ValueError: If custom metadata doesn't exist (enhanced PyAtlan error) + """ + try: + parts = attr_name.split(".", 1) + if len(parts) != 2: + error_msg = ( + f"❌ Invalid custom metadata format: '{attr_name}'\n\n" + f"Expected format: 'SetName.AttributeName'\n" + f"Example: 'Cost Center Attribution.Cost Center Attribution'\n\n" + f"💡 Use get_custom_metadata_context_tool() to see available custom metadata." + ) + logger.error(error_msg) + raise ValueError(error_msg) + + set_name, attribute_name = parts + client = get_atlan_client() + return CustomMetadataField( + client=client, set_name=set_name, attribute_name=attribute_name + ) + except ValueError: + # Re-raise our own ValueError + raise + except Exception as e: + # Catch PyAtlan validation errors and enhance them + error_str = str(e) + if "does not exist" in error_str.lower(): + enhanced_msg = ( + f"❌ Invalid custom metadata: '{attr_name}' does not exist in Atlan.\n\n" + f"Please verify:\n" + f" • Custom metadata set name: '{set_name}'\n" + f" • Attribute name: '{attribute_name}'\n\n" + f"💡 Use get_custom_metadata_context_tool() to see all available custom metadata.\n\n" + f"Original error: {error_str}" + ) + logger.error(enhanced_msg) + raise ValueError(enhanced_msg) + else: + # Unexpected error - log and re-raise + logger.error( + f"Unexpected error creating CustomMetadataField for '{attr_name}': {e}" + ) + raise + @staticmethod def process_results(results: Any) -> Dict[str, Any]: """ @@ -118,9 +216,11 @@ def _process_condition( """ Process a single condition and apply it to the search using the specified method. + Handles both normal Asset attributes and custom metadata fields. + Args: search: The FluentSearch object - attr: The Asset attribute object + attr: The Asset attribute object or CustomMetadataField condition: The condition value (dict, list, or simple value) attr_name 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