Publish an existing featurestore. Args: workspace (str): Target workspace. store_name (str): Featurestore name. params (dict): Publication settings (table, type, etc). Returns: dict: API result.
AI agents use publish_featurestore 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.
Publishing a featurestore makes it accessible and registered in GeoServer, which is a reversible configuration change (can be unpublished). This is a Write operation rather than Execute because it creates/modifies metadata and configuration, not arbitrary code execution.
From the tool's definition Tool name 'publish_featurestore' and description 'Publish an existing featurestore' indicates creating or making visible a data store resource.
Documented attack patterns abuse exactly the kind of access publish_featurestore 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 publish_featurestore:
{
"version": "1",
"default": "deny",
"tools": {
"publish_featurestore": {
"limits": [
{
"counter": "publish_featurestore_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} publish_featurestore 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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Publish an existing featurestore. Args: workspace (str): Target workspace. store_name (str): Featurestore name. params (dict): Publication settings (table, type, etc). Returns: dict: API 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 publish_featurestore: 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.
publish_featurestore 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 publish_featurestore 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 publish_featurestore. 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.
publish_featurestore 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.