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GeezerVison is showing avaloniaui.net — Avalonia AI: Build .NET UI with Claude, Cursor, Copilot

Develop Avalonia apps with AI.

Three Model Context Protocol servers turn Claude, Cursor, Copilot, and the rest of your editor's AI into a teammate that actually understands Avalonia: its docs, your DevTools session, and your Parcel build pipeline.

Install Build MCP
Read the docs

MCP servers

One protocol, three lenses on your app.

Each server exposes a slice of Avalonia your AI assistant can read and act on: documentation, a live DevTools session, and your Parcel build pipeline. Mix them, or start with the free one.

Free

Build MCP

Avalonia's docs, indexed for your AI.

Search the full Avalonia documentation, look up API reference, load expert AXAML and MVVM rules, and run guided WPF-to-XPF migrations.

Tools exposed

search_avalonia_docslookup_avalonia_apiget_avalonia_expert_rulesmigrate_diagnosticsmigrate_to_xpf
Read the docs
Avalonia Plus

DevTools MCP

Live introspection of a running app.

Inspect the visual tree, read and set live property values, and capture screenshots of the app you're debugging right now.

Tools exposed

treeancestorssearchpropsset-propstylesscreenshotactioninputpseudo-classassetsopen-assetresources
Open DevTools docs
Avalonia Plus

Parcel MCP

Cross-platform builds and signing as tool calls.

Set up code signing and notarization, then run cross-platform builds and packaging, all from a chat with your assistant.

Tools exposed

create-projectpacksetup-trusted-signingsetup-apple-signsetup-apple-notary
Open Parcel docs

Quick start

Two lines, then ask anything.

Build MCP is free and runs as a hosted server, with no install and no key. Drop it into your editor and the rest of your AI workflow keeps working; Avalonia just shows up as a few new tools.

Read the install guide
# Add the free Build MCP to Claude Code
claude mcp add --transport http avalonia-docs \
  https://docs-mcp.avaloniaui.net/mcp

# Then ask Claude:
> How do I bind a DataGrid to an ObservableCollection?

From the blog

What we've shipped, what we've learned.

Porting WPF to Avalonia with AI

Point an assistant at a WPF project through Build MCP: analyse what it uses, choose between native Avalonia and Avalonia XPF, then work the port with Avalonia-specific tooling instead of guesswork.

XAML and .NET·Apr 30, 2026

News·Mar 15, 2026

Your AI assistant just got fluent in Avalonia

Announcing Build MCP, the free server that connects an AI coding assistant straight to the Avalonia documentation and API reference.

XAML and .NET·Feb 10, 2026

Showcase: a desktop app built with AI

We built a polished Avalonia desktop app in an hour, with Claude pairing on XAML and Build MCP grounding every API call. Here is how it went.

News·Jan 27, 2026

Introducing the Avalonia DevTools MCP server

Generate UIs, inspect a running app and read its live property values, with the MCP support now built into DevTools.

All posts

FAQ

Avalonia and AI,
answered.

Everything you can do with Avalonia, MCP and your AI assistant of choice.

Contact us

Avalonia ships three Model Context Protocol (MCP) servers that turn any MCP-aware AI assistant into a teammate that understands the framework. Build MCP gives the AI live access to the Avalonia documentation and expert rules so it stops hallucinating APIs. DevTools MCP lets the AI inspect a running Avalonia app, read and change properties, and capture screenshots. Parcel MCP exposes cross-platform packaging, code signing and notarisation as tool calls. Together they cover the full loop: write code, see the running app, ship installers, all driven from a chat with your assistant.

All three Avalonia MCP servers work with any client that speaks Model Context Protocol. That includes VS Code with GitHub Copilot, Visual Studio 2022 and 2026, JetBrains Rider, Cursor, Windsurf, Claude Code, Claude Desktop and Gemini CLI. You configure each server once in your editor or assistant of choice and the same tools are available everywhere.

General-purpose models were trained on a snapshot of the internet that's months or years out of date, and they have no way to look at your running app or your build pipeline. The Avalonia MCP servers replace stale training data with live docs, give the AI eyes on the actual visual tree of your app and let it run real builds. The result is fewer hallucinated APIs, suggestions grounded in what your UI is doing right now, and packaging steps that actually execute instead of being described.

No. Build MCP is free, requires no licence key, and is the recommended starting point. It runs as a hosted remote server, so there is nothing to install: you just point your AI client at it. DevTools MCP and Parcel MCP require an Avalonia Plus subscription or higher because they expose paid product features (live diagnostics and cross-platform packaging respectively).

The MCP servers run locally inside your editor session (or, in the case of Build MCP, as a remote read-only docs server), so your source code is never sent to Avalonia. DevTools MCP only sees the app instance you explicitly attach it to, and Parcel MCP only touches the project directories you point it at. License keys for the paid servers are read from environment variables on your machine, and they never leave it.

Pair with an AI that knows Avalonia

Build MCP is free and a one-line install in any MCP-aware editor. DevTools MCP and Parcel MCP are included in Avalonia Plus and higher, as is Hot Reload, letting your assistant edit the running app and see the result instantly.

Install Build MCP
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