Tibetan Speech Recognition

by drukaico.huggingface.drukai/tibetan-asr-wav2vec2-run8

How the score works

Tibetan speech-to-text with OpenPecha wav2vec2_run8

  • Remote endpoint
  • 2 tools

Uptime

Checked  · every day

99.92%from 10 days of checks

Up without downtime on 9 of 10 days with data; down 10 minutes in all, on 31 October.

  • No downtime
  • Degraded
  • Down over 5 minutes
  • No data
  • Not checked yet

Response time

Median 1207 ms, slowest 5% 1308 ms for the handshake and the tool list, over 30 days.

1500 ms750 ms0

How far each check got

  • Reached the address 92.3%
  • Completed the handshake 84.6%
  • Listed its tools 84.6%

2 tools at the last answer.

Every day
DayResultChecksMedian
9 Nov (today)No downtime11194 ms
8 NovNo downtime1of 11199 ms
7 NovNo downtime1of 11237 ms
6 NovNo downtime1of 11210 ms
5 NovNo downtime1of 11119 ms
4 NovNo downtime1of 11131 ms
3 NovNo downtime1of 11289 ms
2 NovNo downtime1of 11197 ms
1 NovNo downtime1of 11211 ms
31 OctDown 10 minutes41133 ms

A failure counts as down time only when a second check five minutes later fails too. How we check

Connect to the publisher's own endpoint

Run in a terminal:

claude mcp add --transport sse tibetan-asr-wav2vec2-run8 https://drukai-tibetan-asr-wav2vec2-run8.hf.space/gradio_api/mcp/sse
For agents: the install prompt

Every step above as one Markdown text, for an assistant installing it for you.

# Install the MCP server Tibetan Speech Recognition (`co.huggingface.drukai/tibetan-asr-wav2vec2-run8`)

Its page: https://plug.directory/servers/co.huggingface.drukai/tibetan-asr-wav2vec2-run8

It runs on the publisher's servers; the client connects to its URL.

Use the section for the person's client.

## Claude Desktop

Paste into Settings › Connectors › Add custom connector:

```text
https://drukai-tibetan-asr-wav2vec2-run8.hf.space/gradio_api/mcp/sse
```

## Claude Code

Run in a terminal:

```sh
claude mcp add --transport sse tibetan-asr-wav2vec2-run8 https://drukai-tibetan-asr-wav2vec2-run8.hf.space/gradio_api/mcp/sse
```

## Cursor, Devin Desktop, LM Studio, Gemini CLI, oterm, ECA

Merge into the place for the person's client:

- Cursor: ~/.cursor/mcp.json
- Devin Desktop: ~/.config/devin/mcp_config.json
- LM Studio: mcp.json (Program › Install › Edit mcp.json)
- Gemini CLI: ~/.gemini/settings.json
- oterm: config.json in oterm's data folder (~/Library/Application Support/oterm on macOS, ~/.local/share/oterm on Linux, %APPDATA%\oterm on Windows)
- ECA: ~/.config/eca/config.json (global) or .eca/config.json in the project

```json
{
  "mcpServers": {
    "tibetan-asr-wav2vec2-run8": {
      "url": "https://drukai-tibetan-asr-wav2vec2-run8.hf.space/gradio_api/mcp/sse"
    }
  }
}
```

## VS Code

Merge into .vscode/mcp.json:

```json
{
  "servers": {
    "tibetan-asr-wav2vec2-run8": {
      "type": "sse",
      "url": "https://drukai-tibetan-asr-wav2vec2-run8.hf.space/gradio_api/mcp/sse"
    }
  }
}
```

## Zed

This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.

## Cline, AnythingLLM, Augment Code

Merge into the place for the person's client:

- Cline: cline_mcp_settings.json (MCP Servers › Configure › Configure MCP Servers)
- AnythingLLM: anythingllm_mcp_servers.json in the AnythingLLM storage plugins directory
- Augment Code: Augment Settings Panel – MCP section – Import from JSON (VS Code extension)

```json
{
  "mcpServers": {
    "tibetan-asr-wav2vec2-run8": {
      "type": "sse",
      "url": "https://drukai-tibetan-asr-wav2vec2-run8.hf.space/gradio_api/mcp/sse"
    }
  }
}
```

## Continue

Merge into ~/.continue/config.yaml:

```yaml
mcpServers:
  - name: "tibetan-asr-wav2vec2-run8"
    type: sse
    url: "https://drukai-tibetan-asr-wav2vec2-run8.hf.space/gradio_api/mcp/sse"
```

## Goose

This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.

## Codex

This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.

## mcp-client-cli, TUUI, BoltAI, Bob Shell, Kiro, Kiro CLI

This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.

## Agenvoy

This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.

## Amp

Merge into ~/.config/amp/settings.json (user) or .amp/settings.json (workspace):

```json
{
  "amp.mcpServers": {
    "tibetan-asr-wav2vec2-run8": {
      "url": "https://drukai-tibetan-asr-wav2vec2-run8.hf.space/gradio_api/mcp/sse"
    }
  }
}
```

Then restart the client, or reload its MCP servers, and ask it to list the server's tools to confirm it started.

Tools 2

  • tibetan_asr_wav2vec2_run8_score Score a transcript against a reference with CER and syllable error rate. Both texts are NFC-normalised, the two tsheg code points are unified and shad punctuation is dropped. CER ignores whitespace; syllables are split on tsheg and whitespace. Returns: A Markdown summary of CER and SER, or an empty string if either text is missing.
  • tibetan_asr_wav2vec2_run8_transcribe Transcribe Tibetan speech to Tibetan (Uchen) script with openpecha/wav2vec2_run8. Long recordings are split into overlapping 10-second windows; audio over 10 minutes is truncated. If a user passes a file as an input, use the upload_file_to_gradio tool, if present, to upload the file to the gradio app and create a Gradio File Input. Then use the returned path as the input to the tool. Returns: The transcript, and a list of [start_seconds, end_seconds, text] segments.

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