Surgical editing for ML Canvas pages - find/replace specific HTML/CSS snippets without rewriting entire page. Works on ANY post type with ML Canvas block.
AI agents use mlcanvas_edit_page to create or update resources in FluentCommunity Manager — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your FluentCommunity Manager environment.
This tool creates or modifies data reversibly through targeted HTML/CSS editing. While it affects page structure and styling, it does not delete data (thus not Destructive) and does not execute arbitrary code or trigger external operations (thus not Execute). The ability to modify 'ANY post type' increases blast radius slightly, hence medium severity.
From the tool's definition Tool description states 'Surgical editing for ML Canvas pages - find/replace specific HTML/CSS snippets' and 'Works on ANY post type with ML Canvas block'. The find/replace operation modifies page content without deletion.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
Surgical editing for ML Canvas pages - find/replace specific HTML/CSS snippets without rewriting entire page. Works on ANY post type with ML Canvas block. It is categorised as a Write tool in the FluentCommunity Manager MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the FluentCommunity Manager MCP server in PolicyLayer and add a rule for mlcanvas_edit_page: 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 FluentCommunity Manager. Nothing to install.
mlcanvas_edit_page 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 mlcanvas_edit_page 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 mlcanvas_edit_page. 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.
mlcanvas_edit_page is provided by the FluentCommunity Manager MCP server (wplaunchify/fluent-community-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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