# create_multi_output Fan a master TOP across N projectors/displays: each output is a cropped slice (horizontal or vertical) resized to full projector resolution and ended on a Null, ready for setup_output. Set Agent View of the PolicyLayer registry record for `create_multi_output`. HTML page: https://policylayer.com/tools/io-github-pantani-tdmcp/create-multi-output ## Facts - Tool: `create_multi_output` - 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_multi_output", "arguments": {} } } ``` ## Why create_multi_output is rated Medium This tool creates and modifies the TouchDesigner project structure by generating new output nodes and configurations (cropping, resizing, ending on Null operators). These changes are reversible—the created nodes can be deleted or reconfigured. While it modifies the visual system and project state, it does not execute arbitrary code, delete data permanently, or perform financial operations. From the tool's own definition: "The tool description explicitly states it creates outputs: 'each output is a cropped slice...ended on a Null, ready for setup_output.' The action is to 'Fan a master TOP across N projectors/displays,' which involves creating multiple new output…" ## Use case AI agents use create_multi_output 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_multi_output": { "limits": [ { "counter": "create_multi_output_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