# AutoGLM ASR MCP Server

> Use this tool when you need to transcribe spoken audio into text with high accuracy, especially for long recordings or context-dependent conversations. It solves problems such as poor transcription quality, limited audio chunk handling, and lack of timestamped outputs. The AutoGLM ASR MCP Server takes in audio files or streams and outputs transcribed text with optional timestamp segmentation.

Canonical page: https://skillsregistry.net/skills/starrylyn-autoglm-asr-mcp  
JSON: https://api.skillsregistry.net/v1/skills/starrylyn-autoglm-asr-mcp

## Description

High-quality speech-to-text transcription using Zhipu AutoGLM ASR, supporting long audio chunking, context-aware modes, and timestamp segmentation.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f8z3smwxgj)
- **Repository:** <https://github.com/Starrylyn/autoglm-asr-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": "starrylyn-autoglm-asr-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/starrylyn-autoglm-asr-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/starrylyn-autoglm-asr-mcp/pull`

---
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