ASL Detector YOLO

by atalaydenknalbantco.huggingface.atalaydenknalbant/asl-detector-yolo

  • Remote endpoint
  • 2 tools
  • MIT

Uptime

Checked  · every day

100%from 4 days of checks

Up without downtime on 4 of 4 days with data.

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

Response time

Median 1214 ms, slowest 5% 1271 ms for the handshake and the tool list, over 30 days.

1500 ms750 ms0

How far each check got

  • Reached the address 100%
  • Completed the handshake 100%
  • Listed its tools 100%

2 tools at the last answer.

Every day
DayResultChecksMedian
3 Nov (today)No downtime11184 ms
2 NovNo downtime1of 11206 ms
1 NovNo downtime1of 11200 ms
31 OctNo downtime21216 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

Add to ~/.llm/config.json:

{
  "mcpServers": {
    "asl-detector-yolo": {
      "url": "https://atalaydenknalbant-asl-detector-yolo.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.

For agents: the install prompt

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

# Install the MCP server ASL Detector YOLO (`co.huggingface.atalaydenknalbant/asl-detector-yolo`)

Its page: https://plug.directory/servers/co.huggingface.atalaydenknalbant/asl-detector-yolo

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://atalaydenknalbant-asl-detector-yolo.hf.space/gradio_api/mcp/sse
```

## Claude Code

Run in a terminal:

```sh
claude mcp add --transport sse asl-detector-yolo https://atalaydenknalbant-asl-detector-yolo.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": {
    "asl-detector-yolo": {
      "url": "https://atalaydenknalbant-asl-detector-yolo.hf.space/gradio_api/mcp/sse"
    }
  }
}
```

## VS Code

Merge into .vscode/mcp.json:

```json
{
  "servers": {
    "asl-detector-yolo": {
      "type": "sse",
      "url": "https://atalaydenknalbant-asl-detector-yolo.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": {
    "asl-detector-yolo": {
      "type": "sse",
      "url": "https://atalaydenknalbant-asl-detector-yolo.hf.space/gradio_api/mcp/sse"
    }
  }
}
```

## Continue

Merge into ~/.continue/config.yaml:

```yaml
mcpServers:
  - name: "asl-detector-yolo"
    type: sse
    url: "https://atalaydenknalbant-asl-detector-yolo.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": {
    "asl-detector-yolo": {
      "url": "https://atalaydenknalbant-asl-detector-yolo.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

  • ASL_Detector_YOLO_update_visibility Adjusts the visibility of Gradio components based on the selected input type. This function dynamically shows or hides the image and video input/output components in the Gradio interface to ensure only relevant fields are visible. Returns: tuple: A tuple of `gr.update` objects for the visibility of:, (image input, video input, image output, video output).
  • ASL_Detector_YOLO_yolo_inference Performs ASL letter detection inference on an image or video using a YOLO model. This function first downloads the specified YOLO model. It then applies the model to the input, which can be either an image or a video. For images, it returns an annotated image. For videos, it processes each frame and reconstructs an annotated video. Error handling for missing inputs is included, returning blank outputs with messages. 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: tuple: A tuple containing two elements:, - PIL.Image.Image or None: The annotated image if `input_type` was "Image",, otherwise None., - str or None: The path to the annotated video file if `input_type` was "Video",, otherwise None.

From Hugging Face Spaces. Report a problem