Skip to directory
CursorVS Code

About Oracle Database@Google Cloud MCP

Google Cloud managed MCP server for Oracle Database@Google Cloud. Exact tool names and accessible operations depend on the published server reference and configured Google Cloud permissions.

What you can use it for

  • List autonomous databases (ADBs) in a Google Cloud project in the given location.
  • Create an Autonomous Database (ADB). This request can be used to create a new ADB instance or a clone of an existing ADB or an ADB Disaster Recovery (DR) instance. If the source config is not specified, a new ADB instance is created. If the source config is specified, a clone of the source is created. If the source is specified and the source is an ADB DR instance, then a new ADB DR instance is created. While creating a new ADB instance, it can have Public IP support or Private IP support. In case of Private IP support, the request should contain the ODBSubnetwork details. If a request is Public IP mLTS is required mandatorily.
  • Get details for an autonomous database (ADB) in a Google Cloud project in the given location.
  • Create a Cloud Exadata Infrastructure. A user needs a Cloud Exadata Infrastructure to create a Cloud Exadata VM cluster.
  • Get details for an Exadata Infrastructure in a Google Cloud project in the given location.
  • List Exadata Infrastructures in a Google Cloud project in the given location.
Connection and setup
Hosting
Google-managed remote
Transport
Streamable HTTP
Endpoint
https://oracledatabase.googleapis.com/mcp
Authentication
Google Cloud authentication: OAuth 2.0 using Application Default Credentials (ADC) in supported Google clients, or a client OAuth ID/secret or bearer token in compatible third-party clients. The principal needs mcp.tools.call plus the underlying product permissions; API key authentication is only available for services that explicitly support it.

Requirements

  • A Google Cloud project and access to the target product/resource.
  • Enable this MCP service and its underlying Google Cloud API as required by the product guide.
  • An MCP client that supports Streamable HTTP.
  • An identity with the MCP Tool User role (roles/mcp.toolUser) or equivalent mcp.tools.call permission, plus permissions for the underlying product operations.

Setup steps

  1. Choose the correct global or regional endpoint for your data location; this catalog lists the documented endpoint.
  2. In the Google Cloud project, enable the MCP service and the underlying product API if the product guide requires it.
  3. Authenticate the client with Google Cloud ADC (simplest with Antigravity/Gemini CLI) or configure OAuth 2.0 credentials in a compatible client.
  4. Grant the connecting identity roles/mcp.toolUser and only the product IAM roles needed for the intended operations.
  5. Add oracledatabase.googleapis.com to the client as a Streamable HTTP MCP server and complete sign-in.
  6. Refresh the client tool list and check that the tools match the product reference; availability may depend on permissions and selected toolset.
Tools

Exact tool identifiers and descriptions extracted from the product-specific Google Cloud MCP reference Tools table. The live list can still vary by permissions or selected toolset.

  • list_autonomous_databases

    List autonomous databases (ADBs) in a Google Cloud project in the given location.

    01
  • create_autonomous_database

    Create an Autonomous Database (ADB). This request can be used to create a new ADB instance or a clone of an existing ADB or an ADB Disaster Recovery (DR) instance. If the source config is not specified, a new ADB instance is created. If the source config is specified, a clone of the source is created. If the source is specified and the source is an ADB DR instance, then a new ADB DR instance is created. While creating a new ADB instance, it can have Public IP support or Private IP support. In case of Private IP support, the request should contain the ODBSubnetwork details. If a request is Public IP mLTS is required mandatorily.

    02
  • get_autonomous_database

    Get details for an autonomous database (ADB) in a Google Cloud project in the given location.

    03
  • create_exadata_infrastructure

    Create a Cloud Exadata Infrastructure. A user needs a Cloud Exadata Infrastructure to create a Cloud Exadata VM cluster.

    04
  • get_exadata_infrastructure

    Get details for an Exadata Infrastructure in a Google Cloud project in the given location.

    05
  • list_exadata_infrastructures

    List Exadata Infrastructures in a Google Cloud project in the given location.

    06
  • list_db_servers

    List Db Servers in a Google Cloud project in the given location for a given Cloud Exadata Infrastructure. For creation of a Cloud Vm Cluster, we need to know the Db Servers in a Cloud Exadata Infrastructure. This API will be used by the MCP service to get the Db Servers.

    07
  • create_cloud_vm_cluster

    Create a Cloud Vm Cluster. A Cloud Vm Cluster is a set of Virtual Machines (VMs) on a Cloud Exadata Infrastructure.

    08
  • get_cloud_vm_cluster

    Get details for a Cloud Vm Cluster in a Google Cloud project in the given location.

    09
  • list_cloud_vm_clusters

    List Cloud Vm Clusters in a Google Cloud project in the given location.

    10
  • create_exascale_db_storage_vault

    Create an Exascale Db Storage Vault.

    11
  • get_exascale_db_storage_vault

    Get details for an Exascale DB Storage Vault in a Google Cloud project in the given location.

    12
  • list_exascale_db_storage_vaults

    List Exascale DB Storage Vaults in a Google Cloud project in the given location.

    13
  • create_exadb_vm_cluster

    Create an Exadb Vm Cluster. An Exadb Vm Cluster is a set of Virtual Machines (VMs) on an Exadata Infrastructure.

    14
  • get_exadb_vm_cluster

    Get details for an Exadb Vm Cluster in a Google Cloud project in the given location.

    15
  • list_exadb_vm_clusters

    List Exadb Vm Clusters in a Google Cloud project in the given location.

    16
  • create_db_system

    Create a DbSystem (BaseDB).

    17
  • get_db_system

    Get details for a Db system in a Google Cloud project in the given location.

    18
  • list_db_systems

    List Db systems in a Google Cloud project in the given location.

    19
  • create_odb_network

    Create an ODB Network. An ODB Network connects a Google Cloud VPC network to Oracle Database resources.

    20
  • get_odb_network

    Get details for an ODB Network in a Google Cloud project in the given location.

    21
  • list_odb_networks

    List ODB Networks in a Google Cloud project in the given location.

    22
  • create_odb_subnet

    Create an ODB Subnet. An ODB Subnet is a subnetwork within an ODB Network.

    23
  • get_odb_subnet

    Get details for an ODB Subnet in a Google Cloud project in the given location.

    24
  • list_odb_subnets

    List ODB Subnets in a Google Cloud project in the given location.

    25
  • get_operation

    Get the status of a long-running operation. A long-running operation can take several minutes to complete. If an operation takes an extended amount of time, then use a command line tool to pause for 30 seconds before rechecking the status of the operation.

    26

This server’s available tools can vary by account, permissions, or configuration. The list shown is not its full runtime catalog.

Limitations and notes
  • Google marks this service Preview in its supported-products catalog.
Original sources
  • official tool reference

    Product-specific Google MCP reference publishes 26 exact tool identifiers and descriptions in its tools reference.

  • official server catalog

    Official Google Cloud catalog lists this product as an available remote MCP server.

  • official setup guide

    Google Cloud describes remote MCP client setup, Streamable HTTP transport, supported authentication options, and ADC setup.

  • official authentication guide

    Google documents supported identity types and authorization requirements for Google Cloud MCP calls.

Documentation checked date not recorded. Connection has not been runtime tested.

Views

17 days

Platforms

Remote · Streamable HTTP

Google-managed remote

Authentication

Google Cloud authentication: OAuth 2.0 using Application Default Credentials (ADC) in supported Google clients, or a client OAuth ID/secret or bearer token in compatible third-party clients. The principal needs mcp.tools.call plus the underlying product permissions; API key authentication is only available for services that explicitly support it.