Remove a repository from tracking
AI agents call remove_repository to permanently remove resources in MCP Code Analysis Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Removing a repository from tracking is a destructive action that permanently stops analysis and monitoring of that codebase within the system. This results in loss of indexed data, analysis history, and tracking state—effects that cannot be reversed without re-adding and re-analyzing the repository. While not directly deleting source code, it irreversibly removes the repository from the server's tracking system.
From the tool's definition Tool name 'remove_repository' and description 'Remove a repository from tracking' indicate irreversible deletion of tracked repository data. The verb 'remove' combined with the finality of ceasing to track a repository suggests data loss that cannot be undone.
Documented attack patterns abuse exactly the kind of access remove_repository 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 remove_repository:
{
"version": "1",
"default": "deny",
"hide": [
"remove_repository"
]
} remove_repository disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
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Remove a repository from tracking. It is categorised as a Destructive tool in the MCP Code Analysis Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the MCP Code Analysis Server MCP server in PolicyLayer and add a rule for remove_repository: 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.
remove_repository is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the remove_repository 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 remove_repository. 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.
remove_repository 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.
Free to start. No card required.
44 MCP Code Analysis Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.