VisualLearningIdea

by kwabshugco.huggingface.kwabshug/visuallearningidea

Visualisation and speed of input attempt

  • Remote endpoint
  • 4 tools

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 1130 ms, slowest 5% 1268 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%

6 tools at the last answer.

Every day
DayResultChecksMedian
3 Nov (today)No downtime11130 ms
2 NovNo downtime1of 11203 ms
1 NovNo downtime1of 11193 ms
31 OctNo downtime21120 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/eca/config.json (global) or .eca/config.json in the project:

{
  "mcpServers": {
    "visuallearningidea": {
      "url": "https://kwabshug-visuallearningidea.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 VisualLearningIdea (`co.huggingface.kwabshug/visuallearningidea`)

Its page: https://plug.directory/servers/co.huggingface.kwabshug/visuallearningidea

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://kwabshug-visuallearningidea.hf.space/gradio_api/mcp/sse
```

## Claude Code

Run in a terminal:

```sh
claude mcp add --transport sse visuallearningidea https://kwabshug-visuallearningidea.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": {
    "visuallearningidea": {
      "url": "https://kwabshug-visuallearningidea.hf.space/gradio_api/mcp/sse"
    }
  }
}
```

## VS Code

Merge into .vscode/mcp.json:

```json
{
  "servers": {
    "visuallearningidea": {
      "type": "sse",
      "url": "https://kwabshug-visuallearningidea.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": {
    "visuallearningidea": {
      "type": "sse",
      "url": "https://kwabshug-visuallearningidea.hf.space/gradio_api/mcp/sse"
    }
  }
}
```

## Continue

Merge into ~/.continue/config.yaml:

```yaml
mcpServers:
  - name: "visuallearningidea"
    type: sse
    url: "https://kwabshug-visuallearningidea.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": {
    "visuallearningidea": {
      "url": "https://kwabshug-visuallearningidea.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

  • VisualLearningIdea_check_words Check which words of a sentence exist in the 3D vocabulary, and complete the word being typed. A word is available only when a ready asset (SimReady or Objaverse) exists for it; "maps_to" names the asset it would get. Words with no asset are listed in "missing": rephrase them, or map each one to a primitive shape in primitives_json. Verbs (sat, stood, lay, shone, faced) and prepositions (on, under, beside, near, behind, in front of, above) are relations between meshes; whatever "shone" becomes the light source. Returns: JSON string: {"ok", "words": [{text, kind, available_in, maps_to | primitive}], "missing",, "primitive_shapes", "completions"}.
  • VisualLearningIdea_refine_scene Refine a ledger: freeze some decisions and change the others, then re-render. Changes are a JSON list of: {"id": "n1", "freeze": true} lock an item (false unlocks) {"id": "n1", "use": 2} swap in alternatives[2]; the old choice takes slot 2, so using 2 again swaps back (other slots don't move) {"id": "n1", "reject": true} reject the tier: simready -> objaverse -> primitive -> generation {"id": "n1", "height_m": 0.4} set the object's height in metres {"id": "n1", "shape": "sphere"} use a primitive (box, sphere, cylinder, cone, plane) {"reroll": true} every unfrozen object takes a random alternative Frozen items cannot be changed. The configuration (placement, sun angle) is always re-chosen from `seed`: change the seed for another valid configuration. Returns: (ledger JSON string, rendered PNG, GLB scene file, mini HTML page).
  • VisualLearningIdea_simplify_item Build the simplification ladder for one object: full asset -> fewer faces -> convex hull -> box. Look at where the object stops reading as its word: that rung is the least geometry that still carries the meaning, and the low rungs are the ones that can be made physically (fewer faces = fewer papercraft pieces). Returns: (report JSON string, gallery of rung pictures, GLB file per rung,, mini HTML page with the low rungs side by side).
  • VisualLearningIdea_translate_to_scene Translate an English sentence into a 3D scene. Produces the serial ledger (tokens in reading order, the items each word commits, and the unresolved questions), one configuration of that ledger chosen by `seed`, a rendered picture, a GLB model and a mini HTML page. The HTML is a self-contained Three.js scene with inline low-poly geometry: read it, edit it, build on it. Words with no asset must be mapped to a primitive in primitives_json (see check_words). Returns: (ledger JSON string, rendered PNG, GLB scene file, mini HTML page).

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