Refactor code structures like function names, class names, etc.
AI agents use code_refactor to create or update resources in CodeSeeker-MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your CodeSeeker-MCP environment.
Refactoring modifies source code by renaming or restructuring elements across files. This is a Write operation (modifies existing data), though potentially wide-blast-radius since it can affect many files at once. The server description mentions 'dry-run previews' suggesting changes are not necessarily irreversible at the tool level, but the actual refactor operation does modify files.
From the tool's definition Refactor code structures like function names, class names, etc.
Documented attack patterns abuse exactly the kind of access code_refactor gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and CodeSeeker-MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for code_refactor:
{
"version": "1",
"default": "deny",
"tools": {
"code_refactor": {
"limits": [
{
"counter": "code_refactor_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} code_refactor 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.
Free to start. No card required.
Refactor code structures like function names, class names, etc. It is categorised as a Write tool in the CodeSeeker-MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the CodeSeeker- MCP server in PolicyLayer and add a rule for code_refactor: 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 CodeSeeker-MCP. Nothing to install.
code_refactor 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 code_refactor 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 code_refactor. 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.
code_refactor is provided by the CodeSeeker- MCP server (mixelpixx/codeseeker-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from CodeSeeker-MCP, 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.
12 CodeSeeker-MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.