# mcp-listen

> mcp-listen — decibri-mcp-listen. Use this tool when you need to enable AI agents to capture audio input and transcribe speech into text, solving problems such as voice command processing and audio data analysis. It takes microphone audio as input and outputs transcribed text, providing a voice interface for MCP-compatible agents. Ideal for use cases requiring real-time speech recognition and transcription, such as virtual assistants and voice-controlled applications.

Canonical page: https://skillsregistry.net/skills/decibri-mcp-listen  
JSON: https://api.skillsregistry.net/v1/skills/decibri-mcp-listen

## Description

Give your AI agents the ability to listen.

Microphone capture and speech-to-text tools for MCP-compatible agents.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t6t3ejc1lg)
- **Repository:** <https://github.com/decibri/mcp-listen>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "decibri-mcp-listen"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/decibri-mcp-listen` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/decibri-mcp-listen/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt