Execute a pre-configured hub tool for the current site. After navigating, the response will list available tool names and their arguments. Use this tool to run them.
AI agents invoke hub_execute to trigger actions in MoltBrowser 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.
This tool executes arbitrary pre-configured browser automation tools selected from a community hub. While individual sibling tools are Read or Write operations, hub_execute acts as a dispatcher that runs these tools dynamically.
From the tool's definition Tool description states 'Execute a pre-configured hub tool' and 'Use this tool to run them' - the verb 'execute' combined with dynamic invocation of pre-configured tools from a community hub means the actual effects depend on which tool is selected and its…
Documented attack patterns abuse exactly the kind of access hub_execute gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MoltBrowser MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for hub_execute:
{
"version": "1",
"default": "deny",
"tools": {
"hub_execute": {
"limits": [
{
"counter": "hub_execute_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} hub_execute 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.
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Execute a pre-configured hub tool for the current site. After navigating, the response will list available tool names and their arguments. Use this tool to run them. It is categorised as a Execute tool in the MoltBrowser MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MoltBrowser MCP Server MCP server in PolicyLayer and add a rule for hub_execute: 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 MoltBrowser MCP Server. Nothing to install.
hub_execute 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 hub_execute 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 hub_execute. 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.
hub_execute is provided by the MoltBrowser MCP Server MCP server (joakim-sael/moltbrowser). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MoltBrowser MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
9 MoltBrowser MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.