denoise_audio
mlpeek: Reduce background noise in speech audio. Returns mono 12 kHz WAV/MP3/Ogg speech audio with steady noise reduced by FFmpeg afftdn (no model weights), duration and filter. Public URL or base64, up to 25 MB and 10 minutes; base64 or output=url. Not voice isolation; music and changing noise m...
This record as markdown: /tools/dev-tanod-tanod/denoise-audio.md
What denoise_audio does on Tanod
AI agents call denoise_audio to retrieve information from Tanod without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
url | object | — | Public audio URL; at most 25 MB and 10 minutes. Or use file_base64. |
format | string | — | Output format; mono speech audio normalised to 12 kHz. |
output | string | — | base64 (default): inline. url: stored for 24 hours; link, metadata. |
file_base64 | object | — | Audio as base64; at most 25 MB decoded. Or use url. |
Parameters from the server's own tool schema.
Why denoise_audio is rated Low
Even though denoise_audio only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Risk signalsAccepts URL/endpoint input (url)
Attacks that exploit this kind of access
The rule that runs denoise_audio safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Tanod, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For denoise_audio, this is the rule to start with:
denoise_audio is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Tanod, apply this rule, and every denoise_audio call is checked against it from then on.
Questions about denoise_audio
mlpeek: Reduce background noise in speech audio. Returns mono 12 kHz WAV/MP3/Ogg speech audio with steady noise reduced by FFmpeg afftdn (no model weights), duration and filter. Public URL or base64, up to 25 MB and 10 minutes; base64 or output=url. Not voice isolation; music and changing noise may remain, and speech may sound altered. Exact/credits are flat; upto bills started minutes after a 0.25 s tolerance, minimum one. A missing processor is a 503 processor_unavailable; failed jobs are not charged. Typically 1-20 s. Price: USD 0.02. No free tier. Audio is not logged; it is written to private scratch files deleted after the call; only output "url" keeps the result (24 h). Docs: https://tanod.dev/learn/embeddings-rerank-ner-mcp-server.html. It is categorised as a Read tool in the Tanod MCP Server, which means it retrieves data without modifying state.
denoise_audio accepts 4 parameters: url, format, output, file_base64. The full parameter table on this page comes from the server's own tool schema.
Register the Tanod MCP server in PolicyLayer and add a rule for denoise_audio: 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 Tanod. Nothing to install.
denoise_audio 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 denoise_audio 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 denoise_audio. 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.
denoise_audio is provided by the Tanod MCP server (https://tanod.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Tanod, and thousands of servers like it.
This server
Across the catalogue