update_dependency_proxy_settings
Update dependency proxy settings for a group (enable/disable, credentials for authenticated Docker Hub pulls)
This record as markdown: /tools/io-github-zereight-gitlab-mcp/update-dependency-proxy-settings.md
What update_dependency_proxy_settings does on Gitlab Mcp
AI agents use update_dependency_proxy_settings to create or update resources in Gitlab Mcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Gitlab Mcp environment.
Why update_dependency_proxy_settings is rated Medium
The tool updates (modifies) dependency proxy configuration and credentials for a GitLab group. This is a reversible Write action—settings can be changed again and credentials can be rotated. It is not Destructive (no irreversible deletion), not Execute (no arbitrary code/command execution), not Financial, and not Read (it modifies state).
From the tool's definition Tool name contains 'update'; description states 'Update dependency proxy settings' and 'enable/disable, credentials for authenticated Docker Hub pulls'. This modifies configuration and credentials but does not delete or irreversibly destroy data.
Attacks that exploit this kind of access
The rule that runs update_dependency_proxy_settings safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Gitlab Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For update_dependency_proxy_settings, this is the rule to start with:
update_dependency_proxy_settings 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 Gitlab Mcp, apply this rule, and every update_dependency_proxy_settings call is checked against it from then on.
Questions about update_dependency_proxy_settings
Update dependency proxy settings for a group (enable/disable, credentials for authenticated Docker Hub pulls). It is categorised as a Write tool in the Gitlab Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Gitlab MCP server in PolicyLayer and add a rule for update_dependency_proxy_settings: 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 Gitlab Mcp. Nothing to install.
update_dependency_proxy_settings 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 update_dependency_proxy_settings 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 update_dependency_proxy_settings. 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.
update_dependency_proxy_settings is provided by the Gitlab MCP server (@zereight/mcp-gitlab). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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