SoL-Refiner LTX-2.5 for MiniMax-H3

by hugging-appsco.huggingface.hugging-apps/efficient-large-model-sol-refiner-ltx-2-5-for-minimax-h3

One-step 1080p refinement of MiniMax-H3 videos

  • Remote endpoint
  • 1 tool

Uptime

Checked  · every day

99.38%from 7 days of checks

Up without downtime on 5 of 6 days with data; down 50 minutes in all, on 2 November.

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

Response time

Median 1204 ms, slowest 5% 1276 ms for the handshake and the tool list, over 30 days.

1500 ms750 ms0

How far each check got

  • Reached the address 93.7%
  • Completed the handshake 37.5%
  • Listed its tools 37.5%

1 tool at the last answer.

Every day
DayResultChecksMedian
6 Nov (today)No verdict yet0–
5 NovNo downtime1of 11234 ms
4 NovNo downtime1of 11204 ms
3 NovNo downtime1of 11107 ms
2 NovDown 50 minutes11of 11265 ms
1 NovNo downtime1of 11036 ms
31 OctNo downtime11061 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 cline_mcp_settings.json (MCP Servers › Configure › Configure MCP Servers):

{
  "mcpServers": {
    "efficient-large-model-sol-refiner-ltx-2-5-for-minimax-h3": {
      "type": "sse",
      "url": "https://hugging-apps-efficient-large-model-sol-refiner-l-161b19e.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 SoL-Refiner LTX-2.5 for MiniMax-H3 (`co.huggingface.hugging-apps/efficient-large-model-sol-refiner-ltx-2-5-for-minimax-h3`)

Its page: https://plug.directory/servers/co.huggingface.hugging-apps/efficient-large-model-sol-refiner-ltx-2-5-for-minimax-h3

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://hugging-apps-efficient-large-model-sol-refiner-l-161b19e.hf.space/gradio_api/mcp/sse
```

## Claude Code

Run in a terminal:

```sh
claude mcp add --transport sse efficient-large-model-sol-refiner-ltx-2-5-for-minimax-h3 https://hugging-apps-efficient-large-model-sol-refiner-l-161b19e.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": {
    "efficient-large-model-sol-refiner-ltx-2-5-for-minimax-h3": {
      "url": "https://hugging-apps-efficient-large-model-sol-refiner-l-161b19e.hf.space/gradio_api/mcp/sse"
    }
  }
}
```

## VS Code

Merge into .vscode/mcp.json:

```json
{
  "servers": {
    "efficient-large-model-sol-refiner-ltx-2-5-for-minimax-h3": {
      "type": "sse",
      "url": "https://hugging-apps-efficient-large-model-sol-refiner-l-161b19e.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": {
    "efficient-large-model-sol-refiner-ltx-2-5-for-minimax-h3": {
      "type": "sse",
      "url": "https://hugging-apps-efficient-large-model-sol-refiner-l-161b19e.hf.space/gradio_api/mcp/sse"
    }
  }
}
```

## Continue

Merge into ~/.continue/config.yaml:

```yaml
mcpServers:
  - name: "efficient-large-model-sol-refiner-ltx-2-5-for-minimax-h3"
    type: sse
    url: "https://hugging-apps-efficient-large-model-sol-refiner-l-161b19e.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": {
    "efficient-large-model-sol-refiner-ltx-2-5-for-minimax-h3": {
      "url": "https://hugging-apps-efficient-large-model-sol-refiner-l-161b19e.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

  • efficient_large_model_sol_refiner_ltx_2_5_for_minimax_h3_refine Refine a MiniMax-H3 video with SoL-Refiner (LTX-2.5): one transformer forward + one Euler step, then decode to ~1080p. 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: (refined video path, status markdown)

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