customer_portal

SERVERFeatureBoard SOURCEhttps://github.com/valentil/featureboard-mcp/releases/download/v0.7/featureboard.plugin

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/ai-featureboard-featureboard/customer-portal.md

WHAT IT DOES

What customer_portal does on FeatureBoard

AI agents use customer_portal to create or update resources in FeatureBoard, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your FeatureBoard environment.

RISK

Why customer_portal is rated Medium

The primary action is generating a portal page (Read/Execute), but when save:true is used, it writes a file to the media gallery. Since the tool can persist data, Write is the most appropriate category. The blast radius is medium — it creates/overwrites a file in the media gallery, which could affect customer-facing portal pages.

From the tool's definition with save:true it also writes the page into the media gallery as portal-<company>.html and returns its path

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs customer_portal safely

PolicyLayer is an MCP gateway: it sits between your AI agents and FeatureBoard, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For customer_portal, this is the rule to start with:

customer_portal Rate-limited

customer_portal 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "customer_portal": {
      "limits": [
        {
          "counter": "customer_portal_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect FeatureBoard, apply this rule, and every customer_portal call is checked against it from then on.

FAQ

Questions about customer_portal

What does the customer_portal tool do? +

Build a per-customer portal page for a CRM company: their contacts plus the board tickets linked to them (link tickets with link_customer_ticket). Returns self-contained HTML; with save:true it also writes the page into the media gallery as portal-<company>.html and returns its path. It is categorised as a Write tool in the FeatureBoard MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on customer_portal? +

Register the FeatureBoard MCP server in PolicyLayer and add a rule for customer_portal: 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 FeatureBoard. Nothing to install.

What risk level is customer_portal? +

customer_portal is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit customer_portal? +

Yes. Add a rate_limit block to the customer_portal 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.

How do I block customer_portal completely? +

Set action: deny in the PolicyLayer policy for customer_portal. 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.

What MCP server provides customer_portal? +

customer_portal is provided by the FeatureBoard MCP server (https://github.com/valentil/featureboard-mcp/releases/download/v0.7/featureboard.plugin). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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This server

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Guides

Govern customer-ops agents →Argument validation →Scoped token →