Gaze LLE

by fffilonico.huggingface.fffiloni/gaze-lle

Gaze Target Estimation

  • Remote endpoint
  • 1 tool

Uptime

Checked  · every day

100%from 5 days of checks

Up without downtime on 5 of 5 days with data.

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

Response time

Median 1056 ms, slowest 5% 1267 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%

1 tool at the last answer.

Every day
DayResultChecksMedian
4 Nov (today)No downtime11112 ms
3 NovNo downtime1of 11188 ms
2 NovNo downtime1of 11129 ms
1 NovNo downtime1of 11192 ms
31 OctNo downtime2908 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 ~/.config/zed/settings.json:

{
  "context_servers": {
    "gaze-lle": {
      "url": "https://fffiloni-gaze-lle.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 Gaze LLE (`co.huggingface.fffiloni/gaze-lle`)

Its page: https://plug.directory/servers/co.huggingface.fffiloni/gaze-lle

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://fffiloni-gaze-lle.hf.space/gradio_api/mcp/sse
```

## Claude Code

Run in a terminal:

```sh
claude mcp add --transport sse gaze-lle https://fffiloni-gaze-lle.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": {
    "gaze-lle": {
      "url": "https://fffiloni-gaze-lle.hf.space/gradio_api/mcp/sse"
    }
  }
}
```

## VS Code

Merge into .vscode/mcp.json:

```json
{
  "servers": {
    "gaze-lle": {
      "type": "sse",
      "url": "https://fffiloni-gaze-lle.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": {
    "gaze-lle": {
      "type": "sse",
      "url": "https://fffiloni-gaze-lle.hf.space/gradio_api/mcp/sse"
    }
  }
}
```

## Continue

Merge into ~/.continue/config.yaml:

```yaml
mcpServers:
  - name: "gaze-lle"
    type: sse
    url: "https://fffiloni-gaze-lle.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": {
    "gaze-lle": {
      "url": "https://fffiloni-gaze-lle.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 1

  • Gaze_LLE_estimate_gaze_targets Estimate gaze targets for all detected faces in an input image. Use this tool when an image contains one or more visible faces and you need gaze target visualization. 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[Image.Image, list[Image.Image]]: Combined gaze target image and per-face heatmap overlays., Raises:, gr.Error: Raised when the input image is missing, no face is detected, or gaze prediction fails., Important:, Use clear images with visible faces; this tool does not process video or audio.

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