TIGER Audio Extractor
by ahmad0989co.huggingface.ahmad0989/tiger-audio-extraction
Extraction & Reconstruction for Efficient Speech Separation
- Remote endpoint
- 4 tools
Uptime
Checked · every day
100%from 9 days of checks
Up without downtime on 9 of 9 days with data.
- No downtime
- Degraded
- Down over 5 minutes
- No data
- Not checked yet
Response time
Median 1136 ms, slowest 5% 1452 ms for the handshake and the tool list, over 30 days.
How far each check got
- Reached the address 90.0%
- Completed the handshake 90.0%
- Listed its tools 90.0%
4 tools at the last answer.
Every day
| Day | Result | Checks | Median |
|---|---|---|---|
| 8 Nov (today) | No downtime | 1 | 1302 ms |
| 7 Nov | No downtime | 1of 1 | 1139 ms |
| 6 Nov | No downtime | 1of 1 | 1278 ms |
| 5 Nov | No downtime | 1of 1 | 1244 ms |
| 4 Nov | No downtime | 1of 1 | 1125 ms |
| 3 Nov | No downtime | 1of 1 | 1105 ms |
| 2 Nov | No downtime | 1of 1 | 1290 ms |
| 1 Nov | No downtime | 1of 1 | 1184 ms |
| 31 Oct | No downtime | 2 | 959 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
Paste into Settings › Connectors › Add custom connector:
https://ahmad0989-tiger-audio-extraction.hf.space/gradio_api/mcp/sse Run in a terminal:
claude mcp add --transport sse tiger-audio-extraction https://ahmad0989-tiger-audio-extraction.hf.space/gradio_api/mcp/sse Add to ~/.cursor/mcp.json:
Add to ~/.config/devin/mcp_config.json:
Add to mcp.json (Program › Install › Edit mcp.json):
Add to ~/.gemini/settings.json:
Add to config.json in oterm's data folder (~/Library/Application Support/oterm on macOS, ~/.local/share/oterm on Linux, %APPDATA%\oterm on Windows):
Add to ~/.config/eca/config.json (global) or .eca/config.json in the project:
{
"mcpServers": {
"tiger-audio-extraction": {
"url": "https://ahmad0989-tiger-audio-extraction.hf.space/gradio_api/mcp/sse"
}
}
} Add to .vscode/mcp.json:
{
"servers": {
"tiger-audio-extraction": {
"type": "sse",
"url": "https://ahmad0989-tiger-audio-extraction.hf.space/gradio_api/mcp/sse"
}
}
} Add to ~/.config/zed/settings.json:
{
"context_servers": {
"tiger-audio-extraction": {
"url": "https://ahmad0989-tiger-audio-extraction.hf.space/gradio_api/mcp/sse"
}
}
} This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.
Add to cline_mcp_settings.json (MCP Servers › Configure › Configure MCP Servers):
Add to anythingllm_mcp_servers.json in the AnythingLLM storage plugins directory:
Add to Augment Settings Panel – MCP section – Import from JSON (VS Code extension):
{
"mcpServers": {
"tiger-audio-extraction": {
"type": "sse",
"url": "https://ahmad0989-tiger-audio-extraction.hf.space/gradio_api/mcp/sse"
}
}
} Add to ~/.continue/config.yaml:
mcpServers:
- name: "tiger-audio-extraction"
type: sse
url: "https://ahmad0989-tiger-audio-extraction.hf.space/gradio_api/mcp/sse" Add to ~/.config/goose/config.yaml:
extensions:
"tiger-audio-extraction":
type: streamable_http
name: "tiger-audio-extraction"
enabled: true
uri: "https://ahmad0989-tiger-audio-extraction.hf.space/gradio_api/mcp/sse"
headers: {}
env_keys: []
envs: {}
timeout: 300 This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.
Run in a terminal:
codex mcp add tiger-audio-extraction --url https://ahmad0989-tiger-audio-extraction.hf.space/gradio_api/mcp/sse This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.
Add to ~/.llm/config.json:
Add to resources/assets/config/mcp.json in the installed app:
Add to ~/.boltai/mcp.json:
Add to ~/.bob/settings/mcp.json (global) or .bob/mcp.json (project):
Add to ~/.kiro/settings/mcp.json (user) or .kiro/settings/mcp.json (workspace):
Add to ~/.kiro/settings/mcp.json (user) or .kiro/settings/mcp.json (workspace):
{
"mcpServers": {
"tiger-audio-extraction": {
"url": "https://ahmad0989-tiger-audio-extraction.hf.space/gradio_api/mcp/sse"
}
}
} This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.
Add to ~/.config/agenvoy/mcp.json:
{
"servers": {
"tiger-audio-extraction": {
"url": "https://ahmad0989-tiger-audio-extraction.hf.space/gradio_api/mcp/sse"
}
}
} This server's endpoint speaks only SSE, which this client's documentation does not list among its transports; use another client for it.
Add to ~/.config/amp/settings.json (user) or .amp/settings.json (workspace):
{
"amp.mcpServers": {
"tiger-audio-extraction": {
"url": "https://ahmad0989-tiger-audio-extraction.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 TIGER Audio Extractor (`co.huggingface.ahmad0989/tiger-audio-extraction`)
Its page: https://plug.directory/servers/co.huggingface.ahmad0989/tiger-audio-extraction
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://ahmad0989-tiger-audio-extraction.hf.space/gradio_api/mcp/sse
```
## Claude Code
Run in a terminal:
```sh
claude mcp add --transport sse tiger-audio-extraction https://ahmad0989-tiger-audio-extraction.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": {
"tiger-audio-extraction": {
"url": "https://ahmad0989-tiger-audio-extraction.hf.space/gradio_api/mcp/sse"
}
}
}
```
## VS Code
Merge into .vscode/mcp.json:
```json
{
"servers": {
"tiger-audio-extraction": {
"type": "sse",
"url": "https://ahmad0989-tiger-audio-extraction.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": {
"tiger-audio-extraction": {
"type": "sse",
"url": "https://ahmad0989-tiger-audio-extraction.hf.space/gradio_api/mcp/sse"
}
}
}
```
## Continue
Merge into ~/.continue/config.yaml:
```yaml
mcpServers:
- name: "tiger-audio-extraction"
type: sse
url: "https://ahmad0989-tiger-audio-extraction.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": {
"tiger-audio-extraction": {
"url": "https://ahmad0989-tiger-audio-extraction.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 4
TIGER_audio_extraction_separate_dnrPerform Dialog, Effects, and Music (DnR) separation on an uploaded audio file. Returns: Paths to the separated audio files:, Dialog-only audio (dialog.wav), Sound effects-only audio (effect.wav), Background music-only audio (music.wav), This function uses a pretrained DnR model (TIGER-DnR) to isolate the components in the audio., It is intended for tasks such as improving intelligibility or remixing.TIGER_audio_extraction_separate_dnr_videoSeparate dialog, effects, and music from the audio of an uploaded video file and reattach them to the original video. Returns: Paths to the output videos with:, Only dialog audio track (dialog_video.mp4), Only effects audio track (effect_video.mp4), Only music audio track (music_video.mp4), The audio is extracted from the video, separated using the DnR model, and then reattached to the original video visuals.TIGER_audio_extraction_separate_speakersPerform speaker separation on a mixed audio file containing multiple speakers. Returns: A list of Gradio update objects, each containing:, A separate audio file for each identified speaker (up to MAX_SPEAKERS), Visibility and label updates for the UI, This function internally calls a pretrained speech separation model (TIGER-speech), and isolates individual speaker tracks from the input audio.TIGER_audio_extraction_separate_speakers_videoSeparate individual speakers from the audio track of a video and reattach each speaker’s voice to a copy of the original video. Returns: A list of Gradio update objects each containing:, A new video file where the audio consists of only one speaker's voice, Visibility and label information for UI display, The function extracts audio from the video, separates individual speakers using a pretrained model,, and generates one video per speaker by replacing the audio in the original video.
From Hugging Face Spaces. Report a problem