# Whissle

> Use this tool when you need to integrate speech processing and language services into AI assistants, solving problems like speech-to-text transcription, machine translation, and text summarization. It takes audio files or text inputs and outputs transcriptions, translations, or summaries through a standardized interface. Ideal for building AI assistants that process audio content, translate text, or generate summaries from various input sources.

Canonical page: https://skillsregistry.net/skills/whissle  
JSON: https://api.skillsregistry.net/v1/skills/whissle

## Description

Whissle MCP server provides AI assistants with access to Whissle's speech processing and language services through a standardized interface. Developed by Varun Mehta, it integrates with the Whissle API to enable speech-to-text transcription with timestamps and speaker diarization, machine translation between languages, and text summarization using LLM models. The implementation includes robust error handling with retry logic, file validation for audio uploads, and configurable output paths for processed files, making it valuable for building AI assistants that need to process audio content, translate text, or generate summaries from various input sources.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/whissle)
- **Repository:** <https://github.com/whissleai/whissle-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": "whissle"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/whissle` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/whissle/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