Fusion 360 MCP Server

Fusion 360 MCP Server

The Fusion 360 MCP Server solves a common bottleneck for developers who want to embed CAD operations into AI‑driven workflows. By exposing Fusion 360’s rich API through a lightweight TCP/JSON interface, it lets external applications—such as LLM agents, automation scripts, or web dashboards—issue design commands and retrieve model data without needing to run inside the Fusion 360 environment. This remote control capability eliminates manual interaction and enables end‑to‑end automation pipelines that can be triggered by natural language, spreadsheet updates, or sensor data.

The server is composed of three tightly coupled parts: a pure‑Python MCP server that listens for client connections, a minimal client library that serializes requests and parses responses, and an Autodesk Fusion 360 add‑in that bridges the server to the native API. Once the add‑in is loaded, it registers a simple “MCP Controls” panel in Fusion 360. Users can connect the add‑in to any running server instance, after which commands such as or can be sent from remote tools. The add‑in also supports optional LLM integration; by setting an , the server can forward text prompts to a language model and return generated code or design suggestions.

Key capabilities include:

• Remote command execution – Any supported Fusion 360 operation can be invoked over the network, allowing scripts or chat agents to manipulate geometry directly.
• Model introspection – Clients can query the current design, receive structured metadata (components, sketches, dimensions), and use it for analysis or documentation.
• LLM‑powered generation – The protocol exposes / message types, enabling on‑the‑fly generation of design intent or code snippets that the add‑in can execute.
• Extensibility – New message types and handlers can be added with minimal effort, turning the server into a full‑featured design API gateway.

Typical use cases include:

• Chat‑based CAD assistants that let users describe a part in natural language and receive a finished sketch automatically.
• Continuous integration pipelines where test designs are generated, validated, and exported by automated scripts.
• Data‑driven product families that adjust geometry parameters in real time based on external sensor feeds or database updates.
• Educational tools that expose Fusion 360 functionality to web‑based learning platforms without requiring users to install the desktop application.

Integrating the Fusion 360 MCP Server into an AI workflow is straightforward: a language model can issue JSON commands, the server translates them to Fusion 360 API calls via the add‑in, and results are streamed back. This tight coupling preserves the fidelity of native CAD operations while unlocking unprecedented flexibility for AI‑augmented design, prototyping, and manufacturing processes.