Fiji MCP Server

Ask your AI Agent in plain English to use Fiji / ImageJ to quickly analyze microscopy image also set pipelines from Cursor, Claude, Gemini, etc. You simply paste the image or ask it to navigate to the correct file.

The goal is that the AI agent should use the right ImageJ plugin, see what you are seeing and then verify its own results by writing codes without relying on vibes. I plan to setup SKILL and AI plugins in future. Would be happy to collaborate.

See it in action

"Open the image, apply a Gaussian blur, show me before and after."

"Threshold the bright spots, outline each object, report area and circularity."

"Skeletonize the mask and summarize branches per tree."

Get started in 3 steps

1 — Install

pip install fiji-mcp-server

You need Python 3.10+, Fiji installed on your machine, and Java (required by PyImageJ). See quickstart if anything needs clarification.

2 — Connect to your AI app

Replace /Applications/Fiji with your actual Fiji folder (the one containing jars/ and plugins/).

Then restart the app.

3 — Verify it works

In chat, type:

Run the Fiji MCP health_check tool

You should get back the Fiji version and mode. First startup takes 30–90 seconds while the JVM loads — that's normal.

What to ask

Once connected, just describe what you want:

"Open ./images/cells.tif and tell me the dimensions."

"Apply a Gaussian blur with sigma 4 and show me the result."

"Count the bright objects and give me their areas."

"Search for ImageJ commands related to 'threshold'."

"Open the image, subtract background, threshold, count particles — show me a screenshot after each step."

No macro knowledge needed. The assistant finds the right Fiji plugin, runs it, and can show you a screenshot to verify.

Available tools (19 total)

Documentation

Author: Suraj Sahu · UC Merced Physics · ssahu2@ucmerced.edu

Related: cellpose_mcp · PyImageJ · FastMCP

License: BSD-3-Clause