ovito-mcp

# OVITO Pro MCP Server Connects an AI coding agent to a running **OVITO Pro** session, so you can work with your simulation data by describing what you want in plain language. The agent operates inside the session you already have open — it can load files, build and adjust pipelines, analyze results, and look things up in the OVITO documentation, while you watch each step happen live in the GUI and keep working in the same window yourself. Works with Claude Code, GitHub Copilot CLI, OpenAI Codex, OpenCode, Google Antigravity, and other coding agents that support MCP. ## Requirements - **OVITO Pro 3.16 or later**, with a valid license - **Python 3.10 or later** - A supported coding agent, installed and set up separately (see [Agent configuration](#agent-configuration)) ## Installation Install the server: ```sh pip install ovito-mcp ``` Verify the installation and check the version with: ```sh ovito-mcp --version ``` The documentation-search tools provided by the OVITO MCP server use two small sentence-transformers models that are downloaded once from the Hugging Face Hub (~180 MB total) and cached locally. The server downloads them automatically in the background the first time it starts, and never touches the network for them again. If you would rather do this one-time download up front — recommended on a slow or restricted network, so it can't slow down the first search — run: ```sh ovito-mcp --download-models ``` Then register it with your coding agent, using the **absolute path** to the `ovito-mcp` console script. For Claude Code: ```powershell # Windows (PowerShell) claude mcp add ovito-mcp --scope user -- (Get-Command ovito-mcp).Source ``` ```sh # macOS / Linux claude mcp add ovito-mcp --scope user -- "$(which ovito-mcp)" ``` See [Agent configuration](#agent-configuration) below for the other agents. ## Using it In OVITO Pro, open the [**AI Agent**](https://docs.ovito.org/reference/data_inspector/coding_agent.html) tab in the data inspector …