Medium Risk

knn_weights

Create a k-nearest neighbors spatial weights (W) object from point data. - data_path: path to point shapefile or GeoPackage - k: number of nearest neighbors - id_field: optional attribute name to use as observation IDs

How to control knn_weights ↓

What knn_weights does on GIS MCP Server

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

Medium Risk

Why knn_weights needs a policy

This tool performs a computational analysis operation that creates/generates new data (a spatial weights matrix object). It does not retrieve existing data (Read), execute arbitrary code or external operations (Execute), delete or overwrite data irreversibly (Destructive), or involve financial transactions (Financial).

From the tool's definition Tool creates a spatial weights (W) object from input data. The description explicitly states 'Create a k-nearest neighbors spatial weights (W) object', which is a data generation/creation operation.

Documented attack patterns abuse exactly the kind of access knn_weights gives an agent:

How to control knn_weights

PolicyLayer is an MCP gateway — it sits between your AI agents and GIS MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for knn_weights:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "knn_weights": {
      "limits": [
        {
          "counter": "knn_weights_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

knn_weights 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.

  1. Create a free account and register GIS MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

Free to start. No card required.

Related tools and policies

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Questions about knn_weights

What does the knn_weights tool do? +

Create a k-nearest neighbors spatial weights (W) object from point data. - data_path: path to point shapefile or GeoPackage - k: number of nearest neighbors - id_field: optional attribute name to use as observation IDs. It is categorised as a Write tool in the GIS 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 knn_weights? +

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

What risk level is knn_weights? +

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

Can I rate-limit knn_weights? +

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

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

knn_weights is provided by the GIS MCP Server MCP server (mahdin75/gis-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every GIS MCP Server tool call.

Start from GIS 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.

98 GIS MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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