Edit the settings of a feature type in a store. Args: workspace (str): Workspace containing store. store_name (str): Store name. featuretype (str): Feature type to modify. kwargs: Any updatable featuretype attributes. Returns: dict: API update result.
AI agents use edit_featuretype to create or update resources in GeoServer MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your GeoServer MCP Server environment.
The tool modifies existing geospatial feature type configurations in a reversible manner. While this could affect data schemas and potentially impact dependent layers or applications, the changes are updateable and not destructive. The impact is scoped to feature type settings within a workspace/store.
From the tool's definition Tool name is 'edit_featuretype' and description states 'Edit the settings of a feature type in a store' with ability to modify 'Any updatable featuretype attributes' via kwargs.
Documented attack patterns abuse exactly the kind of access edit_featuretype gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and GeoServer MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for edit_featuretype:
{
"version": "1",
"default": "deny",
"tools": {
"edit_featuretype": {
"limits": [
{
"counter": "edit_featuretype_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}edit_featuretype 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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Edit the settings of a feature type in a store. Args: workspace (str): Workspace containing store. store_name (str): Store name. featuretype (str): Feature type to modify. kwargs: Any updatable featuretype attributes. Returns: dict: API update result. It is categorised as a Write tool in the GeoServer MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the GeoServer MCP Server MCP server in PolicyLayer and add a rule for edit_featuretype: 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 GeoServer MCP Server. Nothing to install.
edit_featuretype 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 edit_featuretype 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 edit_featuretype. 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.
edit_featuretype is provided by the GeoServer MCP Server MCP server (mahdin75/geoserver-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from GeoServer MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
56 GeoServer MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.