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create_instance

Create a new instance in the specified project. The request requires project_id, instance_id, display_name, and at least one cluster. The instance_id must be RFC 1035 compliant. Each cluster must specify its zone (e.g. us-central1-a). Example: { "project_id": "my-project", "instance_id": "my-inst...

SERVERMcp SOURCEhttps://bigtableadmin.googleapis.com/mcp
Medium RISK CLASS
Category Write
Parameters 44 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/com-googleapis-bigtableadmin-mcp/create-instance.md

What create_instance does on Mcp

AI agents use create_instance to create or update resources in Mcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp environment.

ParameterTypeRequiredDescription
clusters array Yes Required. Clusters to be created within the instance. At least one cluster must be specified.
projectId string Yes Required. The project ID (e.g., "my-project"). If not known from the context, the Agent should attempt to get the current project ID from the gcloud config by r
instanceId string Yes Required. The ID to be used when referring to the new instance within its project, e.g., just `myinstance` rather than `projects/myproject/instances/myinstance`
displayName string Yes Required. The descriptive name for this instance as it appears in UIs.

Parameters from the server's own tool schema.

Why create_instance is rated Medium

Creating a new Bigtable instance is a write operation that establishes new infrastructure and incurs cloud resource costs. It is reversible (instances can be deleted via delete_instance), so it falls under Write rather than Destructive.

From the tool's definition Tool creates a new instance in the specified project with cluster configuration, which is a reversible data/resource creation operation. Description states 'Create a new instance' and requires project_id, instance_id, display_name, and cluster specifications.

Questions about create_instance

What does the create_instance tool do? +

Create a new instance in the specified project. The request requires project_id, instance_id, display_name, and at least one cluster. The instance_id must be RFC 1035 compliant. Each cluster must specify its zone (e.g. us-central1-a). Example: { "project_id": "my-project", "instance_id": "my-instance", "display_name": "This is my instance", "clusters": [ { "zone": "us-central1-a", "serve_nodes": 3, "default_storage_type": "SSD" } ] }. It is categorised as a Write tool in the Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does create_instance accept? +

create_instance accepts 4 parameters: clusters, projectId, instanceId, displayName. Required: clusters, projectId, instanceId, displayName. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on create_instance? +

Register the MCP server in PolicyLayer and add a rule for create_instance: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp. Nothing to install.

What risk level is create_instance? +

create_instance is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_instance? +

Yes. Add a rate_limit block to the create_instance rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block create_instance completely? +

Set action: deny in the PolicyLayer policy for create_instance. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides create_instance? +

create_instance is provided by the MCP server (https://bigtableadmin.googleapis.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on , and thousands of servers like it.

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