# audio_fingerprint_to_visual Sample a few seconds of audio inside TouchDesigner, compute a 4-feature fingerprint (tempo, spectral centroid, onset density, dynamic range), run a deterministic heuristic mapping to pick a matching Layer 1 generator (create_glitch / create_audio_reactive / create_kaleidoscope / create_feedback_tunnel / create_feedback_network / create_gpu_particle_field), and dispatch it with parameters tuned to the fingerprint. Default audio_source= Agent View of the PolicyLayer registry record for `audio_fingerprint_to_visual`. HTML page: https://policylayer.com/tools/io-github-pantani-tdmcp/audio-fingerprint-to-visual ## Facts - Tool: `audio_fingerprint_to_visual` - 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: Execute (High 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": "audio_fingerprint_to_visual", "arguments": {} } } ``` ## Why audio_fingerprint_to_visual is rated High This tool performs code execution and procedural generation within TouchDesigner based on audio input analysis. While it doesn't delete data (not Destructive), doesn't move money (not Financial), and doesn't simply retrieve data (not Read), it actively executes logic that creates visual generators and modifies the TouchDesigner project state. From the tool's own definition: "The tool description explicitly states it will 'compute', 'run a deterministic heuristic mapping', 'pick a matching Layer 1 generator', and 'dispatch it with parameters'." ## Use case AI agents invoke audio_fingerprint_to_visual to trigger actions in tdmcp — TouchDesigner MCP server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started. ## 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": { "audio_fingerprint_to_visual": { "limits": [ { "counter": "audio_fingerprint_to_visual_rate", "window": "minute", "max": 10, "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 - `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 - `create_shader_park` — Execute — https://policylayer.com/tools/io-github-pantani-tdmcp/create-shader-park.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