Browser Use
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
Descripción del creador (original en inglés)
Playwright-style automation of .NET desktop apps (WPF, WinForms, WinUI) for AI agents.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
NETWRIGHT_ALLOW¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"netwright": {
"command": "dnx",
"args": [
"Netwright",
"--yes"
],
"env": {
"NETWRIGHT_ALLOW": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add netwright --env NETWRIGHT_ALLOW=your-value -- dnx Netwright --yesCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"netwright": {
"command": "dnx",
"args": [
"Netwright",
"--yes"
],
"env": {
"NETWRIGHT_ALLOW": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"netwright": {
"type": "stdio",
"command": "dnx",
"args": [
"Netwright",
"--yes"
],
"env": {
"NETWRIGHT_ALLOW": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
NETWRIGHT_ALLOW envEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub ricfanin, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (2.1.0) llegó al registro hace 28 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas .NET en tu computadora.
En la misma categoría: Browser Use, Chrome DevTools MCP, MCP Server Browser
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
MCP server for Chrome DevTools
MCP server for browser use access
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
Playwright-style automation for .NET desktop apps. Netwright is an MCP server that lets AI agents see and operate WPF, WinForms and WinUI apps: they launch your project, read the UI as compact text, act without stealing your mouse, verify the result, and turn the verified flow into a regression test.
▶ Watch it with sound
Formerly WPF-MCP. Version 2.0 is a rewrite; see Migrating from WPF-MCP 1.x.
> desktop_app action=launch project=src/Orders/Orders.csproj
Launched Orders.exe (pid 9120, WPF, launched by Netwright)
desktop_snapshot
desktop_set_state target=#chkTerms checked=true
checked checkbox "Accept terms" [e6] #chkTerms ~ checkbox "Accept terms" [e6] #chkTerms checked ~ button "Save" [e7] #btnSave
desktop_click target=#btnSave
clicked button "Save" [e7] #btnSave
.csproj, captures stdout/stderr and Trace output, and reports crashes with the exception and stack trace.e12) stay valid across snapshots.desktop_expect verifies state, and desktop_export_test turns the session into a C# test on Netwright.Testing (xUnit, NUnit or MSTest).Same scenarios, same Fixture App, same token encoding for every server (full methodology and all numbers in benchmarks/results):
| WPF Fixture App, median of 5 runs | WPF-MCP 1.0 | FlaUI-MCP | Windows-MCP | Netwright 2.0 |
|---|---|---|---|---|
| Tool definitions, sent every turn (tokens) | 2,023 (24 tools) | 1,418 (12) | 3,984 (20) | 1,387 (15) |
| Snapshot of a form (tokens) | 1,023 | 785 | 1,956¹ | 385 |
| Snapshot of a 1000-row grid (tokens) | 3,988 | 6,234 | 1,897¹ | 627 |
| Fill and submit a form: calls / tokens | 10 / 2,463 | 10 / 3,469 | –² | 6 / 549 |
| Same form on WinForms: success | 0/5 | 0/5 | –² | 5/5 |
| Wait for an async load: calls / tokens | 5 / 3,337 | 5 / 2,484 | –² | 3 / 405 |
| Screenshot (tokens) | 25,073 | 1,000 | 1,944 | 1,020 |
| WinForms grid with 1000 non-virtualized rows: snapshot time | 9.2 s | 12.9 s | 0.3 s¹ | 1.5 s |
¹ Windows-MCP summarizes the whole desktop instead of the app's UI tree; its grid snapshot does not include the rows. ² Its actions work at screen coordinates with the real mouse, so scripted flows were not run.
Tokens are counted with o200k_base as a proxy for Claude's tokenizer. Netwright's actions are slower per call: the form flow takes ~1.8 s against ~0.6 s, because each action waits for the UI to settle. In exchange the response already contains the result, so the agent needs fewer calls and far fewer tokens.
Requires Windows 10/11 and the .NET 10 SDK. Your apps can target any .NET or .NET Framework version.
Claude Code
claude mcp add netwright -- dnx Netwright --yes
Any MCP client (Claude Desktop, Cursor, VS Code, Copilot…)
{
"mcpServers": { "netwright": { "command": "dnx", "args": ["Netwright", "--yes"] } } }
Prefer a global tool? Run dotnet tool install -g Netwright and use "command": "netwright". To restrict which apps an agent may touch, add "--", "--allow", "MyApp*" to the args. See the Integration Guide for all options.
| Tool | What it does |
|---|---|
desktop_app | Launch an .exe or build and launch a project, attach, close, status |
desktop_snapshot | The UI as compact text with Refs |
desktop_find | Elements matching a Selector (#id, role "name", a >> b) |
desktop_inspect | Properties, patterns and a stable Selector of one element |
desktop_click | Click (background; right/double click with foreground) |
desktop_type | Set text (background) or type real keys |
desktop_set_state | Check, select, expand, set a value, or pick an item by name |
desktop_press_key | Key presses and shortcuts (foreground) |
desktop_scroll | Scroll by direction, to an edge, or into view |
desktop_window | List, activate, minimize, maximize, restore, close windows |
desktop_screenshot | Image of a window or element, even when covered |
desktop_wait | Wait for an element state or for text; reports what changed |
desktop_expect | Retrying assertions: text, value, enabled, checked, count… |
desktop_logs | App output: stdout, stderr, debug/trace |
desktop_export_test | Turn the session into a C# regression test |
Full reference: docs/TOOLS_REFERENCE.md.
| Tier | Technology | What that means |
|---|---|---|
| 1 | WPF, WinForms (.NET 6+ and .NET Framework 4.x) | A Fixture App, integration tests on every change, benchmarked |
| 2 | WinUI 3, .NET MAUI on Windows | A Fixture App and integration tests |
| 3 | Avalonia, Uno Platform | Best effort through UI Automation |
Other Windows apps (Win32, Qt, Electron…) often work because Netwright speaks plain UI Automation, but they are not supported.
Automation works best when your app sets AutomationProperties.AutomationId (WPF/WinUI) or Name (WinForms) on the controls you care about. See Making your app automation-friendly.
[Fact]
public async Task Saving_an_order_asks_for_confirmation() { await using var app = await DesktopApp.LaunchProjectAsync(@"..\..\..\..\src\Orders\Orders.csproj");
await app.TypeAsync("#txtCustomer", "Rossi"); await app.CheckAsync("#chkTerms"); await app.ClickAsync("#btnSave");
await app.Expect("window \"Confirm\"").ToBeVisibleAsync(); }
dotnet add package Netwright.Testing. This is the code desktop_export_test writes for you.
Netwright captures each window with one cached UI Automation query. Windows are found with Win32, only about 20 properties are requested, and offscreen elements are filtered inside the provider. From that capture it renders filtered text, resolves Selectors in memory, and diffs trees by RuntimeId to build Change Reports. Details and measurements: docs/ARCHITECTURE.md. Vocabulary: CONTEXT.md. Decisions: docs/adr.
| 1.x | 2.0 | ||
|---|---|---|---|
wpf_launch_application, wpf_attach_application, wpf_close_application | `desktop_app action=launch\ | attach\ | close` |
wpf_snapshot (refs reset on every snapshot) | desktop_snapshot (refs are stable) | ||
wpf_find_element, wpf_get_element_properties | desktop_find, desktop_inspect | ||
wpf_click, wpf_type | desktop_click, desktop_type; both accept a Ref or a Selector | ||
wpf_set_value, wpf_toggle, wpf_select, wpf_expand_collapse | desktop_set_state (value, checked, item, expanded) | ||
wpf_press_key | desktop_press_key foreground=true | ||
wpf_scroll, wpf_scroll_into_view, wpf_focus | desktop_scroll (direction, to, into_view) | ||
wpf_list_windows, wpf_switch_window, wpf_window_action | desktop_window | ||
wpf_take_screenshot (base64 text) | desktop_screenshot (image content) | ||
wpf_wait_for | desktop_wait (also waits for text) | ||
wpf_console_messages | desktop_logs | ||
wpf_set_background_mode | Background is the default; pass foreground=true per call when needed | ||
JSON envelopes (success, data, metadata) | Compact text; errors are isError results with code and hint |
The package is now Netwright (command netwright), replacing WpfMcp.Server (wpf-mcp).
Issues and PRs are welcome. See CONTRIBUTING.md. Build and test with .\scripts\build.ps1 -Integration, and measure with .\scripts\benchmark.ps1.
MIT