AI agents use superset_dashboard_filter_update to create or update resources in MCP Superset — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP Superset environment.
The 'update' suffix indicates this tool modifies dashboard filter settings reversibly (Write category). This is high severity because dashboard filters control data visibility and query behavior in Superset—misuse could redirect queries, expose unintended data to users, or manipulate analytics results.
From the tool's definition Tool name 'superset_dashboard_filter_update' indicates modification of dashboard filter configuration. The 'update' action on dashboard filters modifies saved state reversibly.
Documented attack patterns abuse exactly the kind of access superset_dashboard_filter_update gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Superset, and nothing reaches the server without passing your rules. This is the rule we recommend for superset_dashboard_filter_update:
{
"version": "1",
"default": "deny",
"tools": {
"superset_dashboard_filter_update": {
"limits": [
{
"counter": "superset_dashboard_filter_update_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}superset_dashboard_filter_update 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.
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superset_dashboard_filter_update. It is categorised as a Write tool in the MCP Superset MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCP Superset MCP server in PolicyLayer and add a rule for superset_dashboard_filter_update: 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 Superset. Nothing to install.
superset_dashboard_filter_update 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 superset_dashboard_filter_update 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 superset_dashboard_filter_update. 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.
superset_dashboard_filter_update is provided by the MCP Superset MCP server (mcp-superset). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Superset, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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137 MCP Superset tools catalogued and risk-classified — across an index of 43,000+ MCP servers.