1/ 🚀 Excited to release: napari-mcp - agentic control of napari from any MCP-capable AI assistant! Use it for interactive image processing, analysis, and visualisation! Really cool project from @[email protected] from my team! #napari #bioimageanalysis #MCP @biohub
2/ Context: Omega (napari-chatgpt) showed that LLM agents can do real work inside napari (processing + widgets + self-repair). napari-mcp is the next step: any MCP-enabled app can now drive napari! github.com/royerlab/nap...
3/ napari-mcp exposes tools for layer management, viewer control (2D/3D, camera, dims), widgets, screenshots, and more! You get the best of both worlds: first-class agentic interfaces + napari viewer! API: royerlab.github.io/napari-mcp/a...
4/ The fun part: your assistant can *see* what is on the napari canvas and use that to reason and decide what to do next! With visual feedback, the agent can observe, reason, and iterate rather than guess. royerlab.github.io/napari-mcp/a...
5/ Quick start: 1) pip install napari-mcp 2) napari-mcp-install <app> (claude-desktop / cursor / cline-vscode / gemini / codex)https://royerlab.github.io/napari-mcp/getting-started/quickstart/
6/ Already in napari? Use plugin mode. Plugins → napari-mcp: MCP Server Control → Start Server. Your MCP client now controls the *current* session (no new viewer), so it slots into real workflows. royerlab.github.io/napari-mcp/g...
7/ Power + safety: napari-mcp can expose code execution + package installation tools, so treat it like a local instrument (not a public toy). Docs: royerlab.github.io/napari-mcp/ Contributions welcome: issues/PRs on GitHub.
8/ Here is a presentation and demo by Ilan! www.youtube.com/watch?v=SG91...

Ilan Theodoro: Demo: Napari-MC...
Ilan Theodoro: Demo: Napari-MCP — An MCP server for agentic remote control of Napari

YouTube
8/ We are aware of other efforts developed independently, such as the project by Haichao Miao at LLNL: github.com/llnl/bioimag.... Try it too!
9/ Thanks for all the beta-testers!