AI agents use update_repository_settings to create or update resources in MCP Code Analysis Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP Code Analysis Server environment.
This tool creates or modifies repository configuration reversibly. It does not execute code, delete data irreversibly, or move money. While it could impact analysis behavior if misused (e.g., disabling security checks), the changes are reversible through subsequent updates.
From the tool's definition Tool name 'update_repository_settings' and description 'Update repository settings' indicate modification of configuration data. The verb 'update' and 'settings' context confirm reversible data alteration rather than code execution or deletion.
Documented attack patterns abuse exactly the kind of access update_repository_settings gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Code Analysis Server, and nothing reaches the server without passing your rules. This is the rule we recommend for update_repository_settings:
{
"version": "1",
"default": "deny",
"tools": {
"update_repository_settings": {
"limits": [
{
"counter": "update_repository_settings_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}update_repository_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.
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Update repository settings. It is categorised as a Write tool in the MCP Code Analysis Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCP Code Analysis Server MCP server in PolicyLayer and add a rule for update_repository_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 MCP Code Analysis Server. Nothing to install.
update_repository_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_repository_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_repository_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_repository_settings is provided by the MCP Code Analysis Server MCP server (johannhartmann/mcpcodeanalysis). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Code Analysis Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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44 MCP Code Analysis Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.