# connect_qlab_cue_stack

Create a QLab OSC cue-stack scaffold with cue command maps, status, and rehearsal-focused setup notes.

Agent View of the PolicyLayer registry record for `connect_qlab_cue_stack`. HTML page: https://policylayer.com/tools/io-github-pantani-tdmcp/connect-qlab-cue-stack

## Facts

- Tool: `connect_qlab_cue_stack`
- 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": "connect_qlab_cue_stack",
    "arguments": {}
  }
}
```

## Why connect_qlab_cue_stack is rated Medium

This tool creates new QLab (a theater cueing system) configuration scaffolds including OSC mappings and setup documentation. While it modifies state by establishing new cue structures, these are reversible and intended for rehearsal/setup purposes rather than destructive operations. The blast radius is medium—misconfigured cue stacks could disrupt theater productions, but the changes are restorable.

From the tool's own definition: "Tool description states it will 'Create a QLab OSC cue-stack scaffold', indicating creation of new data/configuration structures. The term 'Create' and 'scaffold' suggests reversible generation of OSC command mappings and setup notes."

## Use case

AI agents use connect_qlab_cue_stack 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": {
    "connect_qlab_cue_stack": {
      "limits": [
        {
          "counter": "connect_qlab_cue_stack_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}
```

## Other tools on tdmcp — TouchDesigner MCP server (506)

- `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
- `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
- `connect_mqtt_iot_bus` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/connect-mqtt-iot-bus.md
- `connect_vmix_production` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/connect-vmix-production.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_glsl_material` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-glsl-material.md
- `create_glsl_shader` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-glsl-shader.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_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
- …and 476 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