browser_use
Run a governed Sanka browser automation workflow through a configured worker. Use this for API gaps such as HubSpot demo company avatars; workflows are allowlisted and dry_run=true is the default.
This record as markdown: /tools/sankahq-sanka-mcp/browser-use.md
What browser_use does on Sanka MCP Server
AI agents invoke browser_use to trigger actions in Sanka MCP Server. 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.
Why browser_use is rated High
Browser automation is an Execute category tool because it triggers external operations (browser interactions) that produce side effects depending on the arguments provided. While the description notes workflows are 'allowlisted' and 'dry_run=true is the default' (mitigating factors that prevent critical severity), the core capability is executing code-like operations on remote systems.
From the tool's definition Tool description states 'Run a governed Sanka browser automation workflow through a configured worker' — the word 'Run' and 'browser automation' indicate execution of external operations.
Attacks that exploit this kind of access
The rule that runs browser_use safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Sanka MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For browser_use, this is the rule to start with:
browser_use 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Sanka MCP Server, apply this rule, and every browser_use call is checked against it from then on.
Questions about browser_use
Run a governed Sanka browser automation workflow through a configured worker. Use this for API gaps such as HubSpot demo company avatars; workflows are allowlisted and dry_run=true is the default. It is categorised as a Execute tool in the Sanka MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Sanka MCP Server MCP server in PolicyLayer and add a rule for browser_use: 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 Sanka MCP Server. Nothing to install.
browser_use is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the browser_use 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 browser_use. 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.
browser_use is provided by the Sanka MCP Server MCP server (sankahq/sanka-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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