AI Hub HF

by talent-active-devco.huggingface.talent-active-dev/ai-hub-hf

ترجمه JSON و رونویسی صوت با مدل<U+200C>های رایگان

Install in VS Code Other clients

Remote endpoint
10 tools

Uptime

Checked 3 Nov, 19:27 UTC · every day

99.2%from 4 days of checks

Up without downtime on 3 of 4 days with data; down 40 minutes in all, on 1 November.

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

Response time

Median 1177 ms, slowest 5% 1306 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 38.4%
Listed its tools 38.4%

10 tools at the last answer.

Every day

Day	Result	Checks	Median
3 Nov (today)	No downtime	1	1200 ms
2 Nov	No downtime	1of 1	1159 ms
1 Nov	Down 40 minutes	9of 1	1235 ms
31 Oct	No downtime	2	1182 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 ~/.cursor/mcp.json:

{
  "mcpServers": {
    "ai-hub-hf": {
      "url": "https://talent-active-dev-ai-hub-hf.hf.space/gradio_api/mcp/sse"
    }
  }
}

Step by step for Cursor

Add to .vscode/mcp.json:

{
  "servers": {
    "ai-hub-hf": {
      "type": "sse",
      "url": "https://talent-active-dev-ai-hub-hf.hf.space/gradio_api/mcp/sse"
    }
  }
}

Step by step for VS Code

Add to ~/.config/zed/settings.json:

{
  "context_servers": {
    "ai-hub-hf": {
      "url": "https://talent-active-dev-ai-hub-hf.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.

Step by step for Zed

Add to cline_mcp_settings.json (MCP Servers › Configure › Configure MCP Servers):

{
  "mcpServers": {
    "ai-hub-hf": {
      "type": "sse",
      "url": "https://talent-active-dev-ai-hub-hf.hf.space/gradio_api/mcp/sse"
    }
  }
}

Step by step for Cline

Add to ~/.config/goose/config.yaml:

extensions:
  "ai-hub-hf":
    type: streamable_http
    name: "ai-hub-hf"
    enabled: true
    uri: "https://talent-active-dev-ai-hub-hf.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.

Step by step for Goose

Run in a terminal:

codex mcp add ai-hub-hf --url https://talent-active-dev-ai-hub-hf.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.

Step by step for Codex

Add to ~/.llm/config.json:

{
  "mcpServers": {
    "ai-hub-hf": {
      "url": "https://talent-active-dev-ai-hub-hf.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.

Step by step for mcp-client-cli

Add to ~/.config/agenvoy/mcp.json:

{
  "servers": {
    "ai-hub-hf": {
      "url": "https://talent-active-dev-ai-hub-hf.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.

Step by step for Agenvoy

Add to ~/.config/amp/settings.json (user) or .amp/settings.json (workspace):

{
  "amp.mcpServers": {
    "ai-hub-hf": {
      "url": "https://talent-active-dev-ai-hub-hf.hf.space/gradio_api/mcp/sse"
    }
  }
}

Step by step for Amp

For agents: the install prompt

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

# Install the MCP server AI Hub HF (`co.huggingface.talent-active-dev/ai-hub-hf`)

Its page: https://plug.directory/servers/co.huggingface.talent-active-dev/ai-hub-hf

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://talent-active-dev-ai-hub-hf.hf.space/gradio_api/mcp/sse
```

## Claude Code

Run in a terminal:

```sh
claude mcp add --transport sse ai-hub-hf https://talent-active-dev-ai-hub-hf.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": {
    "ai-hub-hf": {
      "url": "https://talent-active-dev-ai-hub-hf.hf.space/gradio_api/mcp/sse"
    }
  }
}
```

## VS Code

Merge into .vscode/mcp.json:

```json
{
  "servers": {
    "ai-hub-hf": {
      "type": "sse",
      "url": "https://talent-active-dev-ai-hub-hf.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": {
    "ai-hub-hf": {
      "type": "sse",
      "url": "https://talent-active-dev-ai-hub-hf.hf.space/gradio_api/mcp/sse"
    }
  }
}
```

## Continue

Merge into ~/.continue/config.yaml:

```yaml
mcpServers:
  - name: "ai-hub-hf"
    type: sse
    url: "https://talent-active-dev-ai-hub-hf.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": {
    "ai-hub-hf": {
      "url": "https://talent-active-dev-ai-hub-hf.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 10

ai_hub_hf_current_quota Report today's GPU consumption against the free daily allowance.
ai_hub_hf_delete_job_ui Delete a stored job from the UI.
ai_hub_hf_get_job_json Fetch a stored job by id or share link; returns the job as a JSON string. This is the shareable endpoint — the payload survives a page reload, so the original audio and translation can be replayed without spending GPU quota again.
ai_hub_hf_get_job_links Return the shareable page URL and JSON API URL for a stored job.
ai_hub_hf_get_job_srt Download the stored translation of a job as an SRT subtitle file.
ai_hub_hf_show_job Look up a stored job by id or share link and return it as JSON.
ai_hub_hf_show_job_on_enter Same lookup, wired to Enter-key submit (separate name so Gradio does not duplicate it).
ai_hub_hf_transcribe_audio Transcribe audio into segments with word-level timestamps. Returns {"segments", "words", "text", "job_id", "quota"}. The upload is kept under /data/jobs/<job_id>/ so get_job_json(job_id) can replay the result after a page reload without uploading again or spending more GPU quota. 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
ai_hub_hf_translate_json Translate segments from a JSON payload into Persian, preserving every timing field. Accepts either {"segments": [...]} or a bare list of segments, where each segment has at least "text" and ideally "start"/"end". Returns the same structure with the original text kept under "source_text" and the translation under "text".
ai_hub_hf_translate_json_1 Translate segments from a JSON payload into Persian, preserving every timing field. Accepts either {"segments": [...]} or a bare list of segments, where each segment has at least "text" and ideally "start"/"end". Returns the same structure with the original text kept under "source_text" and the translation under "text".

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