update_dashboards

Update multiple dashboards in Directus at once. Each dashboard must include an id field. Example: {dashboards: [{id:

Server Directus MCP Server skeyelab/directus-mcp-server
Category Write
Risk class Medium
Parameters 00 required

What update_dashboards does on Directus MCP Server

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

Why update_dashboards needs a policy

This tool creates or modifies data reversibly by updating dashboard records. It falls under Write category since updates are changeable (dashboards can be re-updated or reverted). While it operates on multiple records, the changes are not destructive/permanent.

From the tool's definition Tool name 'update_dashboards' and description indicating it 'Update multiple dashboards in Directus at once' modifies existing dashboard configurations.

Questions about update_dashboards

What does the update_dashboards tool do? +

Update multiple dashboards in Directus at once. Each dashboard must include an id field. Example: {dashboards: [{id:. It is categorised as a Write tool in the Directus MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_dashboards? +

Register the Directus MCP Server MCP server in PolicyLayer and add a rule for update_dashboards: 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 Directus MCP Server. Nothing to install.

What risk level is update_dashboards? +

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

Can I rate-limit update_dashboards? +

Yes. Add a rate_limit block to the update_dashboards 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 update_dashboards completely? +

Set action: deny in the PolicyLayer policy for update_dashboards. 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 update_dashboards? +

update_dashboards is provided by the Directus MCP Server MCP server (skeyelab/directus-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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