find_and_replace
Find and replace text across multiple files with preview option
This record as markdown: /tools/agentics-ai-code-mcp/find-and-replace.md
What find_and_replace does on Code MCP Server
AI agents use find_and_replace to create or update resources in Code MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Code MCP Server environment.
Why find_and_replace is rated Medium
This tool modifies file contents by replacing text across multiple files. While it has a 'preview option' suggesting changes can be reviewed before applying, the core action is writing/modifying data across potentially many files.
From the tool's definition Find and replace text across multiple files
Attacks that exploit this kind of access
The rule that runs find_and_replace safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Code MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For find_and_replace, this is the rule to start with:
find_and_replace 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 Code MCP Server, apply this rule, and every find_and_replace call is checked against it from then on.
Questions about find_and_replace
Find and replace text across multiple files with preview option. It is categorised as a Write tool in the Code MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Code MCP Server MCP server in PolicyLayer and add a rule for find_and_replace: 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 Code MCP Server. Nothing to install.
find_and_replace 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 find_and_replace 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 find_and_replace. 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.
find_and_replace is provided by the Code MCP Server MCP server (agentics-ai/code-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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