# create_depth_from_2d

Wraps TDDepthAnything v2 (community TOX by IntentDev) to convert any 2D image/video TOP into a depth map TOP using Depth Anything v2 via NVIDIA TensorRT/ONNX — no Kinect or RealSense required. Given a source TOP path, drops the TOX into a fresh container, wires the source, exposes a depth Null TOP whose path can be fed directly into create_depth_displacement, create_depth_pop_field, or create_depth_silhouette. Requires the user to have installed TDDepthAnything.tox from https://github.com/IntentDev/TDDepthAnything and an NVIDIA GPU with CUDA + TensorRT pre-built weights (.engine/.onnx). NOT supported on macOS. First cook may take 30–60 s for engine compile. Returns container_path, dropped_tox_path, depth_top_path (the key output), source_top_path, output_resolution, model_variant, and warnings.

Agent View of the PolicyLayer registry record for `create_depth_from_2d`. HTML page: https://policylayer.com/tools/io-github-pantani-tdmcp/create-depth-from-2d

## Facts

- Tool: `create_depth_from_2d`
- Server: tdmcp — TouchDesigner MCP server (`@dpantani/tdmcp`) — https://policylayer.com/tools/io-github-pantani-tdmcp.md
- Install: `npx -y @dpantani/tdmcp`
- Homepage: https://github.com/Pantani/tdmcp
- Risk category: Write (Medium risk)
- Registry record: grade F, identity unverified
- Server rate-limited: no
- Parameters: 0
- Recommended policy verdict: Rate-limited

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "create_depth_from_2d",
    "arguments": {}
  }
}
```

## Why create_depth_from_2d is rated Medium

This tool creates new nodes/containers in a TouchDesigner project (drops TOX, wires source, exposes output), which constitutes a reversible write/create operation within the project graph. It does not delete existing data, execute arbitrary code, or involve financial transactions. Severity is medium as it modifies the project structure and requires specific GPU hardware.

From the tool's own definition: "drops the TOX into a fresh container, wires the source, exposes a depth Null TOP whose path can be fed directly into create_depth_displacement"

## Use case

AI agents use create_depth_from_2d to create or update resources in tdmcp — TouchDesigner MCP server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your tdmcp — TouchDesigner MCP server environment.

## Recommended policy (PolicyLayer)

Verdict: **Rate-limited**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches tdmcp — TouchDesigner MCP server:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_depth_from_2d": {
      "limits": [
        {
          "counter": "create_depth_from_2d_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}
```

## Other tools on tdmcp — TouchDesigner MCP server (333)

- `delete_td_node` — Destructive — https://policylayer.com/tools/io-github-pantani-tdmcp/delete-td-node.md
- `manage_checkpoint` — Destructive — https://policylayer.com/tools/io-github-pantani-tdmcp/manage-checkpoint.md
- `refresh_asset_previews` — Destructive — https://policylayer.com/tools/io-github-pantani-tdmcp/refresh-asset-previews.md
- `repair_network` — Destructive — https://policylayer.com/tools/io-github-pantani-tdmcp/repair-network.md
- `apply_glsl_top_mapping` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/apply-glsl-top-mapping.md
- `audio_fingerprint_to_visual` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/audio-fingerprint-to-visual.md
- `auto_repair_loop` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/auto-repair-loop.md
- `batch_operations` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/batch-operations.md
- `build_chop_chain` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/build-chop-chain.md
- `build_pop_chain` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/build-pop-chain.md
- `build_sop_geometry` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/build-sop-geometry.md
- `connect_daydream_cloud` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/connect-daydream-cloud.md
- `control_timeline_transport` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/control-timeline-transport.md
- `create_ai_mirror` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-ai-mirror.md
- `create_body_bubbles` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-body-bubbles.md
- `create_cue_sequencer` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-cue-sequencer.md
- `create_depth_pop_field` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-depth-pop-field.md
- `create_energy_structure` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-energy-structure.md
- `create_engine_comp` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-engine-comp.md
- `create_gpu_particle_field` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-gpu-particle-field.md
- `create_growth_system` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-growth-system.md
- `create_interactive_projection_mapping` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-interactive-projection-mapping.md
- `create_led_mapper` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-led-mapper.md
- `create_llm_chain` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-llm-chain.md
- `create_panic` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-panic.md
- `create_particle_flock` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-particle-flock.md
- `create_phrase_locked_cue_engine` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-phrase-locked-cue-engine.md
- `create_sdf_field` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-sdf-field.md
- `create_set_navigator` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-set-navigator.md
- `create_setlist_runner` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-setlist-runner.md
- …and 303 more: https://policylayer.com/tools/io-github-pantani-tdmcp.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=io-github-pantani-tdmcp · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/io-github-pantani-tdmcp