This record as markdown: /tools/io-github-portel-dev-ncp/configure.md
What configure does on Ncp
AI agents use configure to create or update resources in Ncp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ncp environment.
Why configure is rated Medium
The 'configure' action modifies settings reversibly without deleting data. This is a Write operation. Severity is high because misconfiguring a GitLab API connection could disrupt CI/CD pipelines, access controls, or integration behavior, affecting multiple systems. Confidence is 0.85 rather than higher because the description lacks detail about what specific settings can be modified and their scope of impact.
From the tool's definition Tool description states 'Configure gitlab-api-v4 settings', indicating it modifies configuration settings for a GitLab API integration.
Attacks that exploit this kind of access
The rule that runs configure safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ncp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For configure, this is the rule to start with:
configure 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Ncp, apply this rule, and every configure call is checked against it from then on.
Questions about configure
Configure gitlab-api-v4 settings. It is categorised as a Write tool in the Ncp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Ncp MCP server in PolicyLayer and add a rule for configure: 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 Ncp. Nothing to install.
configure 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 configure 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 configure. 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.
configure is provided by the Ncp MCP server (@portel/ncp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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