configure_source

A write tool on the Pypi:labmcp Alicat MCP server.

SERVERPypi:labmcp Alicat SOURCEpypi:labmcp-alicat

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/lab-instrument-mcps/configure-source.md

WHAT IT DOES

What configure_source does on Pypi:labmcp Alicat

AI agents use configure_source to create or update resources in Pypi:labmcp Alicat, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Pypi:labmcp Alicat environment.

RISK

Why configure_source is rated Medium

Name suggests configuring a source parameter; likely a write operation on lab instrument settings.

From the tool's definition uninformative description

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs configure_source safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Pypi:labmcp Alicat, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For configure_source, this is the rule to start with:

configure_source Rate-limited

configure_source 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "configure_source": {
      "limits": [
        {
          "counter": "configure_source_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Pypi:labmcp Alicat, apply this rule, and every configure_source call is checked against it from then on.

FAQ

Questions about configure_source

What does the configure_source tool do? +

configure_source is a write tool on the Pypi:labmcp Alicat MCP server. It is categorised as a Write tool in the Pypi:labmcp Alicat MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on configure_source? +

Register the Pypi:labmcp Alicat MCP server in PolicyLayer and add a rule for configure_source: 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 Pypi:labmcp Alicat. Nothing to install.

What risk level is configure_source? +

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

Can I rate-limit configure_source? +

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

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

configure_source is provided by the Pypi:labmcp Alicat MCP server (pypi:labmcp-alicat). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Pypi:labmcp Alicat, and thousands of servers like it.

This server

All 242 Pypi:labmcp Alicat tools →

Across the catalogue

The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →