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    MCP Reference: dataplex.googleapis.com

    A Model Context Protocol (MCP) server acts as a proxy between an external service that provides context, data, or capabilities to a Large Language Model (LLM) or AI application. MCP servers connect AI applications to external systems such as databases and web services, translating their responses into a format that the AI application can understand.

    Server Setup

    You must enable MCP servers and set up authentication before use. For more information about using Google and Google Cloud remote MCP servers, see Google Cloud MCP servers overview .

    MCP server for interacting with Knowledge Catalog (formerly known as Dataplex).

    Server Endpoints

    An MCP service endpoint is the network address and communication interface (usually a URL) of the MCP server that an AI application (the Host for the MCP client) uses to establish a secure, standardized connection. It is the point of contact for the LLM to request context, call a tool, or access a resource. Google MCP endpoints can be global or regional.

    The dataplex.googleapis.com MCP server has the following MCP endpoint:

    • https://dataplex.googleapis.com/mcp

    MCP Tools

    An MCP tool is a function or executable capability that an MCP server exposes to a LLM or AI application to perform an action in the real world.

    The dataplex.googleapis.com MCP server has the following tools:

    MCP Tools
    search_entries
    Searches for data assets (eg. table/dataset/view) in Catalog based on the provided search query.
    get_data_product
    Fetches details of a single, specified Data Product. Once you have used the get_data_product tool to fetch the metadata for a Data Product, you can use the list_data_assets tool to list the Data Assets that are part of that Data Product.
    get_data_asset
    Fetches details of a single, specified Data Asset that is part of a Data Product.
    list_data_products
    List Data Products in a particular project.
    list_data_assets
    List Data Assets in a particular data product.
    create_data_product

    Initiates the creation of a Data Product.

    • The tool returns a long-running operation. Use the get_operation tool to poll its status until the operation completes.
    • The data product creation operation can take several minutes. Use a command line tool to pause for 5 seconds before rechecking the status.
    • After you use the create_data_product tool to create a data product, you can use the update_data_product tool to add access groups and labels in case provided by the user else do not call the update_data_product tool and just call the get_data_product tool to get the data product details.
    update_data_product
    Initiates the update of a Data Product. * The update_mask parameter specifies which fields of the data product to update. For example, to update only the description field, set update_mask to description . To update multiple fields at once, separate the field names with commas. For example, description,labels updates both the description and labels fields. * The tool returns a long-running operation. Use the get_operation tool to poll its status until the operation completes. * The data product update operation can take several minutes. Use a command line tool to pause for 5 seconds before rechecking the status. * After you use the update_data_product tool, use the get_data_product tool to retrieve the current values of the data product fields.
    create_data_asset

    Initiates the creation of a Data Asset.

    • The tool returns a long-running operation. Use the get_operation tool to poll its status until the operation completes.
    • In case access group configs are provided, the access group name provided is the key and the role provided is the value.
    • The data asset creation operation can take several minutes. Use a command line tool to pause for 5 seconds before rechecking the status.
    • After you use the create_data_asset tool to create a data product, use the get_data_asset tool to get the data asset details.
    update_data_asset
    Initiates the update of a Data Asset. * The update_mask parameter specifies which fields of the data product to update. For example, to update only the description field, set update_mask to description . To update multiple fields at once, separate the field names with commas. For example, access_group_configs,labels updates both the access_group_configs and labels fields. * The tool returns a long-running operation. Use the get_operation tool to poll its status until the operation completes. * In case access group configs are provided, the access group name provided is the key and the role provided is the value. * The data product update operation can take several minutes. Use a command line tool to pause for 5 seconds before rechecking the status. * After you use the update_data_asset tool, use the get_data_asset tool to retrieve the current values of the data product fields.
    get_operation
    Gets the status of a long-running operation. Usage Some tools return a long-running operation. You can use this tool to get the status of the operation. If an operation takes an extended amount of time, then use a command line tool to pause for 5 seconds before rechecking the status of the operation. Parameters* name : The name of the operation to get. * name should be the name returned by the tool that initiated the operation. * name should be in the format of projects/{project}/locations/{location}/operations/{operation} Returns* response : The response of the operation. * error : The error returned by the operation if any.
    lookup_context
    Retrieves rich metadata regarding one or more data assets along with their relationships.

    Get MCP tool specifications

    To get the MCP tool specifications for all tools in an MCP server, use the tools/list method. The following example demonstrates how to use curl to list all tools and their specifications currently available within the MCP server.

    Curl Request 
      
curl  
--location  
 'https://dataplex.googleapis.com/mcp' 
  
 \ 
--header  
 'content-type: application/json' 
  
 \ 
--header  
 'accept: application/json, text/event-stream' 
  
 \ 
--data  
 '{ 
 "method": "tools/list", 
 "jsonrpc": "2.0", 
 "id": 1 
 }'
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