Avizo MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Avizo MCP ServerList the available workflows in my project directory"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Avizo MCP and Codex Skill
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 metadataRelated MCP server: PIX4Dmatic MCP
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"
$env:AVIZO_PYTHON_EXE = "C:\Path\To\python.exe"Run Manually
.\.venv\Scripts\python.exe -m avizo_mcp.serverThe server uses stdio transport for MCP clients.
Codex MCP Config
Use examples/codex_mcp_config.toml as a template. Replace paths with your local clone, venv Python, Avizo installation, and job workdir.
Skill
The reusable Codex skill lives at skills/avizo. To install it manually, copy that folder into your Codex skills directory, for example:
Copy-Item -Recurse .\skills\avizo "$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.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/songyb1998/avizo-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server