Avizo Server
FreeNot checkedEnables automation of Thermo Scientific Amira-Avizo on Windows by discovering, inspecting, and creating workflows, and launching Avizo or its bundled Python.
About
Enables automation of Thermo Scientific Amira-Avizo on Windows by discovering, inspecting, and creating workflows, and launching Avizo or its bundled Python.
README
Local Model Context Protocol server and Codex skill for Thermo Scientific Amira-Avizo automation on Windows.
This repository is designed as a conservative bridge around an existing local Avizo installation. It does not call private Avizo APIs from outside the Avizo process. Instead, it helps an MCP client:
- discover Avizo, AvizoToGo, Amira, bundled Python, docs, demos, and a job workdir;
- inventory Avizo/Amira project trees containing
.hx,.am,.measure.am, TIFF stacks,Header.txt, DVC outputs, and deep-learning artifacts; - inspect
.hxworkflows and extract command patterns plus referenced files; - create reproducible
.hxand Python scripts in a job directory; - generate
.pyscroplus.rcscript-object skeletons using the public Amira-Avizo extension pattern; - launch Avizo/AvizoToGo/Amira or run Avizo's bundled Python;
- capture and read job logs.
Repository Layout
src/avizo_mcp/ MCP server package
skills/avizo/ Codex skill that teaches agents how to use the MCP
examples/ Example MCP config and smoke-test scripts
pyproject.toml Python package metadata
Install
Use standard Windows CPython, not MSYS Python. The mcp dependency pulls pywin32 on Windows, which is not available for MSYS Python builds.
py -3.12 -m venv .venv
.\.venv\Scripts\python.exe -m pip install -e .
Environment
Set these variables in your MCP client config or shell:
$env:AVIZO_HOME = "C:\Program Files\Thermo Scientific Amira-Avizo3D 2024.1"
$env:AVIZO_MCP_WORKDIR = "C:\Users\<you>\Documents\avizo_mcp_jobs"
Optional overrides:
$env:AVIZO_EXE = "C:\Path\To\Avizo3D.exe"
$env:AVIZO_TO_GO_EXE = "C:\Path\To\AvizoToGo.exe"
$env:AMIRA_EXE = "C:\Path\To\Amira3D.exe"
$env:AVIZO_PYTHON_EXE = "C:\Path\To\python.exe"
Run Manually
.\.venv\Scripts\python.exe -m avizo_mcp.server
The server uses stdio transport for MCP clients.
Codex MCP Config
Use examples/codex_mcp_config.toml as a template. Replace paths with your local clone, venv Python, Avizo installation, and job workdir.
Skill
The reusable Codex skill lives at skills/avizo. To install it manually, copy that folder into your Codex skills directory, for example:
Copy-Item -Recurse .\skills\avizo "$env:USERPROFILE\.codex\skills\avizo"
Restart Codex after installing or changing the MCP config.
Safety Notes
- Treat raw CT,
.am, and.hxexperiment folders as read-only unless a user explicitly asks for in-place edits. - Generate scripts and logs in
AVIZO_MCP_WORKDIR. - For long Avizo jobs, launch with
wait=falseand inspect logs before claiming success. - Review generated
.pyscroand.rcfiles in a disposableAMIRA_LOCALlayout before installing them into a production Avizo setup.
Publishing Notes
Choose an open-source license before publishing this repository. Do not vendor third-party Amira-Avizo automation code unless its license and attribution are handled.
Install Avizo Server in Claude Desktop, Claude Code & Cursor
unyly install avizo-mcp-serverInstalls into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.
First time? Get the CLI: curl -fsSL https://unyly.org/install | sh
Or configure manually
Run in your terminal:
claude mcp add avizo-mcp-server -- uvx --from git+https://github.com/songyb1998/avizo-mcp avizo-mcpFAQ
Is Avizo Server MCP free?
Yes, Avizo Server MCP is free — one-click install via Unyly at no cost.
Does Avizo Server need an API key?
No, Avizo Server runs without API keys or environment variables.
Is Avizo Server hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Avizo Server in Claude Desktop, Claude Code or Cursor?
Open Avizo Server on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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