browser_attach_meet

SERVERDialogbrain SOURCEhttps://api.dialogbrain.com/mcp

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-saloprj-dialogbrain/browser-attach-meet.md

WHAT IT DOES

What browser_attach_meet does on Dialogbrain

AI agents invoke browser_attach_meet to trigger actions in Dialogbrain. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

RISK

Why browser_attach_meet is rated High

This tool attaches to a live browser session and enables subsequent browser interactions including clicking controls and evaluating JavaScript in the context of a live Google Meet session.

From the tool's definition 'Attach to THIS meet's bot browser and return a page_id for its live Google Meet tab. Then use the normal browser.* tools (browser.snapshot to see the page, browser.click to press a control, browser.take_screenshot, browser.evaluate, browser.console_messages,…

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs browser_attach_meet safely

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

browser_attach_meet Rate-limited

browser_attach_meet stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "browser_attach_meet": {
      "limits": [
        {
          "counter": "browser_attach_meet_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about browser_attach_meet

What does the browser_attach_meet tool do? +

Attach to THIS meet's bot browser and return a page_id for its live Google Meet tab. Then use the normal browser.* tools (browser.snapshot to see the page, browser.click to press a control, browser.take_screenshot, browser.evaluate, browser.console_messages, browser.network_requests) with that page_id to inspect why the bot isn't visibly joining (lobby/blocked/admitted) and to recover a stalled join. Call with no arguments from inside a meet. It is categorised as a Execute tool in the Dialogbrain MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on browser_attach_meet? +

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

What risk level is browser_attach_meet? +

browser_attach_meet is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit browser_attach_meet? +

Yes. Add a rate_limit block to the browser_attach_meet 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 browser_attach_meet completely? +

Set action: deny in the PolicyLayer policy for browser_attach_meet. 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 browser_attach_meet? +

browser_attach_meet is provided by the Dialogbrain MCP server (https://api.dialogbrain.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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