---
id: dcc-mcp-core
version: "0.20.6"
license: MIT
license_treatment: permissive
maintenance: active
---

# dcc-mcp-core — Foundational library for the DCC Model Context Protocol (MCP) ecosystem

License: permissive · Maintenance: active · Downloads: 146.3K/mo

## What it is and what it does

dcc-mcp-core is a foundational library that bridges agents and AI models to desktop creative applications—DCCs like Maya, Blender, and Houdini, as well as game engines and 2D tools—through 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.

The package centers on Skills—versioned, 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.

Use it for:

- 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.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

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.

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.

## Install

pip install dcc-mcp-core
uv add dcc-mcp-core
poetry add dcc-mcp-core

## Installing dcc-mcp-core

Before you install: Released 1 day ago with active maintenance. Medium install friction due to compiled wheels (cp37–cp37m, win_amd64 variants present), but supports Python 3.7–3.14 and depends on only one runtime package (dcc-mcp-server). Beta status and recent release suggest ongoing development.

License in practice: MIT license (permissive) places no restrictions on commercial or proprietary use, modification, or distribution—standard permissive terms suitable for production integration.

Quickstart:

pip install dcc-mcp-core

from dcc_mcp_core import create_skill_server

server = create_skill_server()
server.run()

Requires dcc-mcp-server as a runtime dependency; compiled wheels available for Python 3.7+ on Linux and Windows x86_64.

Verify before relying:

- Whether dcc-mcp-server is packaged separately or must be installed alongside dcc-mcp-core.
- Specific DCC versions and platforms supported by each adapter (Maya, Blender, Houdini, etc.).
- Performance characteristics and concurrency limits for multi-instance DCC routing.
- Whether the Admin UI and marketplace integration are included in this package or require separate installation.

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: medium
- Maintenance: active
- Downloads: 146.3K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

dcc agent control plane, maya blender houdini automation, mcp model context protocol, creative tool orchestration, dcc skill framework, agent-driven 3d workflow, rust dcc integration, dcc-automation, mcp-server, creative-tools

[View on SkillFed](https://skillfed.io/packages/dcc-mcp-core) · [View on PyPI](https://pypi.org/project/dcc-mcp-core/)