# bundle_dependencies Make a COMP self-contained: recursively scan its subtree for external file references (movie/image files, fonts, LUTs, externaltox links — reusing the collect_project_assets scan), COPY each existing asset into /assets/, rewrite each referencing parameter in the LIVE network to the copied relative path (assets/), then save the COMP as a .tox beside its assets with a tdmcp-component manifest. The result is a folder you can move to another machine and open without broken links. Delta vs make_portable_tox (which saves the .tox only, leaving external assets behind) and collect_project_assets (which only reports refs). Rewriting mutates the live network — set rewrite_refs=false to copy-and-report without touching parameters. Agent View of the PolicyLayer registry record for `bundle_dependencies`. HTML page: https://policylayer.com/tools/io-github-pantani-tdmcp/bundle-dependencies ## Facts - Tool: `bundle_dependencies` - 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": "bundle_dependencies", "arguments": {} } } ``` ## Why bundle_dependencies is rated Medium bundle_dependencies performs multiple write operations: it copies files to disk, rewrites parameters in the live network to update paths, and saves a .tox file. These are all reversible modifications (files can be deleted, parameters changed back, tox regenerated). The tool does not execute arbitrary code, delete irreversibly, or move money. From the tool's own definition: "'COPY each existing asset into /assets/', 'rewrite each referencing parameter in the LIVE network to the copied relative path', 'then save the COMP as a .tox'. The tool creates new files, modifies network parameters, and saves data." ## Use case AI agents use bundle_dependencies 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": { "bundle_dependencies": { "limits": [ { "counter": "bundle_dependencies_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