add_card_to_dashboard
Add a card to a dashboard
This record as markdown: /tools/zsh52013148087-metabase-mcp/add-card-to-dashboard.md
What add_card_to_dashboard does on Metabase Analytics Integration Server
AI agents use add_card_to_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 |
|---|---|---|---|
col | number | — | Column position in the dashboard grid |
row | number | — | Row position in the dashboard grid |
series | array | — | Additional series to include with this card |
size_x | number | — | Width of the card in dashboard grid units |
size_y | number | — | Height of the card in dashboard grid units |
tab_id | number | — | ID of the tab to add the card to (optional) |
card_id | number | — | ID of the card to add |
dashboard_id | number | — | ID of the dashboard |
parameter_mappings | array | — | Parameter mappings for dashboard filters |
Parameters from the server's own tool schema.
Why add_card_to_dashboard is rated Medium
Adding a card to a dashboard creates or modifies dashboard configuration by linking an existing card to a dashboard. This is a Write operation because it alters dashboard state reversibly—the card can be removed or the association changed. It does not delete data (Destructive), execute queries (Execute), or move money (Financial).
From the tool's definition Tool description states 'Add a card to a dashboard', which creates a new association/relationship between a card and dashboard.
Attacks that exploit this kind of access
The rule that runs add_card_to_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 add_card_to_dashboard, this is the rule to start with:
add_card_to_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 add_card_to_dashboard call is checked against it from then on.
Questions about add_card_to_dashboard
Add a card to a dashboard. 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.
add_card_to_dashboard accepts 9 parameters: col, row, series, size_x, size_y, tab_id, card_id, dashboard_id, parameter_mappings. 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 add_card_to_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.
add_card_to_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 add_card_to_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 add_card_to_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.
add_card_to_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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