Transcribe audio to text using DeepInfra OpenAI-compatible API (Whisper).
AI agents call speech_recognition to retrieve information from MCP DeepInfra AI Tools Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool reads/processes audio input and returns a text transcription. It has no side effects, does not modify or delete data, and does not execute code or move money. It is purely a data retrieval/transformation operation.
From the tool's definition Transcribe audio to text using DeepInfra OpenAI-compatible API (Whisper)
Attacks that exploit this kind of access
Transcribe audio to text using DeepInfra OpenAI-compatible API (Whisper). It is categorised as a Read tool in the MCP DeepInfra AI Tools Server MCP Server, which means it retrieves data without modifying state.
Register the MCP DeepInfra AI Tools Server MCP server in PolicyLayer and add a rule for speech_recognition: 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 MCP DeepInfra AI Tools Server. Nothing to install.
speech_recognition is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the speech_recognition 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 speech_recognition. 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.
speech_recognition is provided by the MCP DeepInfra AI Tools Server MCP server (phuihock/mcp-deeinfra). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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