Establishes and authenticates the connection to a Plone CMS. Must be called once per session before other tools can be used. Configuration can be provided via arguments or environment variables (PLONE_BASE_URL, PLONE_USERNAME, PLONE_PASSWORD, PLONE_TOKEN). Arguments take precedence over environme...
AI agents use plone_configure to create or update resources in Plone MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Plone MCP Server environment.
An AI agent can call plone_configure faster than any human can review — one bad instruction and it creates or modifies resources in Plone MCP Server by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
Establishes and authenticates the connection to a Plone CMS. Must be called once per session before other tools can be used. Configuration can be provided via arguments or environment variables (PLONE_BASE_URL, PLONE_USERNAME, PLONE_PASSWORD, PLONE_TOKEN). Arguments take precedence over environment variables. To use environment variables only, call with an empty object: plone_configure({}). Example with arguments: plone_configure({baseUrl:. It is categorised as a Write tool in the Plone MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Plone MCP Server MCP server in PolicyLayer and add a rule for plone_configure: 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 Plone MCP Server. Nothing to install.
plone_configure 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 plone_configure 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 plone_configure. 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.
plone_configure is provided by the Plone MCP Server MCP server (plone/plone-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →