create_dashboard
Create a new dashboard in Metabase
This record as markdown: /tools/zsh52013148087-metabase-mcp/create-dashboard.md
What create_dashboard does on Metabase Analytics Integration Server
AI agents use create_dashboard to create or update resources in Metabase Analytics Integration Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Metabase Analytics Integration Server environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
name | string | — | Name of the dashboard |
cache_ttl | number | — | Cache time-to-live in seconds |
parameters | array | — | Dashboard filter parameters (optional) |
description | string | — | Description of the dashboard |
collection_id | number | — | ID of the collection to put the dashboard in (optional) |
enable_embedding | boolean | — | Whether to enable embedding for this dashboard |
auto_apply_filters | boolean | — | Whether filters should auto-apply |
collection_position | number | — | Position within the collection (optional) |
Parameters from the server's own tool schema.
Why create_dashboard is rated Medium
This tool creates a new dashboard, which is a reversible write operation. It modifies the state of the Metabase system by adding a new dashboard, but does not delete or execute arbitrary code. The blast radius is medium because a malicious agent could create many dashboards consuming resources or causing confusion, but the action can be undone by deleting the created dashboard.
From the tool's definition Tool name is 'create_dashboard' and description states 'Create a new dashboard in Metabase', which creates new data/objects in the analytics platform.
Attacks that exploit this kind of access
The rule that runs create_dashboard safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Metabase Analytics Integration Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_dashboard, this is the rule to start with:
create_dashboard stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Metabase Analytics Integration Server, apply this rule, and every create_dashboard call is checked against it from then on.
Questions about create_dashboard
Create a new dashboard in Metabase. It is categorised as a Write tool in the Metabase Analytics Integration Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
create_dashboard accepts 8 parameters: name, cache_ttl, parameters, description, collection_id, enable_embedding, auto_apply_filters, collection_position. The full parameter table on this page comes from the server's own tool schema.
Register the Metabase Analytics Integration Server MCP server in PolicyLayer and add a rule for create_dashboard: 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 Metabase Analytics Integration Server. Nothing to install.
create_dashboard is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_dashboard 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.
Set action: deny in the PolicyLayer policy for create_dashboard. 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.
create_dashboard is provided by the Metabase Analytics Integration Server MCP server (zsh52013148087/metabase-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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