{"categories":[{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/8"},{"label":"3D Modeling","url":"https://skillfed.io/packages/category/multimedia-graphics-3d-modeling"}],"enrichment":{"capability":"dcc-mcp-core provides a Rust-powered control plane that connects agents to desktop DCCs, game engines, and creative tools through discoverable MCP and REST capabilities, handling main-thread dispatch, routing, and structured tool execution.","skillfed_tags":["dcc-automation","mcp-server","creative-tools"],"use_cases":["Control a running Maya, Blender, or Houdini session from an agent or CI job using the CLI and REST gateway.","Expose a custom DCC adapter or legacy tool over MCP/REST without rebuilding transport and dispatch infrastructure.","Package and distribute reusable Skills (e.g., asset providers, rigging, procedural authoring) through a marketplace.","Route agent requests to the correct DCC instance and handle main-thread affinity, async jobs, and cancellation.","Integrate UI automation and Computer Use workflows for tools that lack a clean programmatic API."],"what_it_does":"dcc-mcp-core is a foundational library that bridges agents and AI models to desktop creative applications\u2014DCCs like Maya, Blender, and Houdini, as well as game engines and 2D tools\u2014through a unified MCP (Model Context Protocol) and REST interface. It handles the infrastructure that would otherwise be rebuilt for each adapter: main-thread dispatch, multi-instance routing, tool discovery, structured result validation, and lifecycle management.\n\nThe package centers on Skills\u2014versioned, testable, distributable operations that encode pipeline knowledge without requiring repeated code generation. A studio TD or TA can compose Skills from SKILL.md, tools.yaml, and existing scripts, scoped to a project or team, then distribute them through a marketplace. The control plane keeps ownership of host connectivity, safety, and observability while letting teams customize the actual workflow logic. It also provides a bounded Computer Use-style UI Control capability for legacy tools that have no programmatic API.","worth_installing":"Yes, if you are building or extending an agent-driven creative pipeline. dcc-mcp-core is actively maintained (released 1 day ago), MIT-licensed, and eliminates the need to rebuild common DCC integration infrastructure. Beta status and a growing ecosystem of adapters make it a solid foundation for studios and tool developers. Install friction is moderate due to compiled wheels, but Python 3.7+ support is broad. No known security vulnerabilities."},"id":"dcc-mcp-core","links":{"html":"https://skillfed.io/packages/dcc-mcp-core","md":"https://skillfed.io/packages/dcc-mcp-core.md","pypi":"https://pypi.org/project/dcc-mcp-core/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-13","license_spdx":null,"license_treatment":"permissive","name":"dcc-mcp-core","python_support":"supports_current","summary":"Foundational library for the DCC Model Context Protocol (MCP) ecosystem"},"popularity":{"monthly_downloads":146329,"position":11099,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.20.6"}