Create a FlowSpeech episode by converting text or URL content to speech. Supports smart mode (AI-enhanced, fixes grammar) and direct mode (no modifications). This tool will automatically poll until generation is complete.
AI agents invoke create_flowspeech to trigger actions in ListenHub 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 triggers an external audio generation operation (text-to-speech conversion) that involves processing content and producing an output artifact. It's not purely a write (data storage), but rather an execution of an AI-enhanced pipeline that fetches/processes URL content or text and generates audio. The 'smart mode' with AI enhancement and automatic polling indicates an active execution process.
From the tool's definition Create a FlowSpeech episode by converting text or URL content to speech... will automatically poll until generation is complete
Documented attack patterns abuse exactly the kind of access create_flowspeech gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and ListenHub MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for create_flowspeech:
{
"version": "1",
"default": "deny",
"tools": {
"create_flowspeech": {
"limits": [
{
"counter": "create_flowspeech_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} create_flowspeech 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.
Free to start. No card required.
Create a FlowSpeech episode by converting text or URL content to speech. Supports smart mode (AI-enhanced, fixes grammar) and direct mode (no modifications). This tool will automatically poll until generation is complete. It is categorised as a Execute tool in the ListenHub MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the ListenHub MCP Server MCP server in PolicyLayer and add a rule for create_flowspeech: 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 ListenHub MCP Server. Nothing to install.
create_flowspeech 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 create_flowspeech 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 create_flowspeech. 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.
create_flowspeech is provided by the ListenHub MCP Server MCP server (marswaveai/listenhub-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from ListenHub 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.
8 ListenHub MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.