# dtelecom-stt

> Use this tool when you need to transcribe audio files in real-time, leveraging dTelecom's speech-to-text functionality with a pay-per-use USDC micropayment model. It solves the problem of accurately converting spoken language into text without requiring API keys, making it accessible for various applications. The tool takes audio files as input and outputs transcribed text, ideal for use cases where real-time transcription is necessary, such as voice assistants, podcasts, or meetings.

Canonical page: https://skillsregistry.net/skills/dtelecom-stt-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dtelecom-stt-mcp

## Description

Enables AI assistants to transcribe audio files using dTelecom's real-time speech-to-text with pay-per-use USDC micropayments, no API keys required.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/twv6jv4bsp)
- **Repository:** <https://github.com/dTelecom/stt-mcp>

## 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": "dtelecom-stt-mcp"
    }
  }
}
```

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