Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者提供的说明(英文原文)
Android framework and solution that prevents TransactionTooLargeException crashes by design.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"shuttle": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/grarcht/shuttle-mcp:4.0.0"
]
}
}
}在终端中运行这条命令
claude mcp add shuttle -- docker run -i --rm ghcr.io/grarcht/shuttle-mcp:4.0.0粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"shuttle": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/grarcht/shuttle-mcp:4.0.0"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"shuttle": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/grarcht/shuttle-mcp:4.0.0"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过 GitHub 账户 grarcht 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(4.0.0)于3个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Docker。
同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
The Figma MCP server brings Figma design context directly into your AI workflow.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Prevent TransactionTooLargeException crashes. For good. A modern Android framework for safely transporting large Serializable objects between components, without the crashes.
🗞️ Featured in [Android Weekly #594](https://androidweekly.net/issues/issue-594) and [Android Weekly #455](https://androidweekly.net/issues/issue-455), validated by the Android community twice.
You've seen this before. Maybe last week:
android.os.TransactionTooLargeException: data parcel size X bytes
It didn't show up in dev. It didn't show up in QA. It showed up at 2am, in production, for real users. Your Play Store rating took the hit before anyone on the team even knew.
So you triaged it. Filed the ticket. Wrote the fix. Reviewed the PR. Ran QA again. Cut the hotfix. And then you added it to the code review checklist, hoping the next engineer would catch it before it happened again.
They won't. Not reliably. You can't review your way out of a structural problem.
Shuttle provides a modern, guarded way to pass large Serializable objects with Intent objects or save them in Bundle objects to avoid app crashes. The crash class is structurally prevented, not governed against.
Why keep spending more time and money on governance through code reviews? Why not embrace the problem by providing a solution for it?
Shuttle reduces the high level of governance needed to catch `TransactionTooLargeException` inducing code by:
Serializable and passing an identifier for the SerializableBundle for binder transactionsTransactionTooLargeExceptionsSerializable at the destinationShuttle also excels by:
When envisioning, designing, and creating the architecture, quality attributes and best practices were kept in mind. These attributes include usability, readability, recognizability, reusability, maintainability, and more.
| Without Shuttle | With Shuttle |
|---|---|
Large Serializable passed in Intent/Bundle | Object stored in a warehouse; only a small identifier is passed |
| Silent in dev, catastrophic in production | Binder transaction stays within safe size limits, everywhere |
| Time and money spent on crash investigation, fixes, QA, and hotfixes | Crash class is structurally impossible |
| Requires constant code review governance | Ship with confidence |
| Engineers manually manage object lifecycles | Automatic or on-demand cargo cleanup built in |
The Shuttle framework takes its name from cargo transportation in the freight industry. Moving and storage companies experience scenarios where large moving trucks cannot transport cargo the entire way to the destination (warehouses, houses, et cetera). These scenarios might occur from road restrictions, trucks being overweight from large cargo, and more. As a result, companies use small Shuttle vans to transport smaller cargo groups on multiple trips to deliver the entire shipment.
After the delivery is complete, employees remove the cargo remnants from the shuttle vans and trucks. This clean-up task is one of the last steps for the job.
The Shuttle framework takes its roots in these scenarios:
Shuttle applies this same logic to Android's binder transaction limit:
┌─────────────────────────────────────────────────────────────┐
│ Source Component │ │ 1. Large Serializable -> stored in Warehouse (Room/DB) │ │ 2. Small cargo ID -> passed in Intent/Bundle │ └──────────────────────────────┬──────────────────────────────┘ │ (tiny binder transaction) ┌──────────────────────────────▼──────────────────────────────┐ │ Destination Component │ │ 3. Cargo ID received -> retrieved from Warehouse │ │ 4. Large Serializable -> delivered via Kotlin Channel │ │ 5. Cleanup -> cargo removed from Warehouse automatically │ └─────────────────────────────────────────────────────────────┘
| Requirement | Minimum |
|---|---|
| Android min SDK | 26 |
| Kotlin | 2.2.10 |
| AGP (Android Gradle Plugin) | 8.0+ |
| KSP | Required only when using @ShuttleCargo |
| Java | 21 |
`settings.gradle.kts` — apply the Shuttle Gradle plugin so the @ShuttleCargo annotation processor is wired into your build:
@ShuttleCargo annotates the cargo class you want to transport between screens. At build time, the annotation processor generates the serialization code Shuttle needs to store and retrieve cargo, without any manual Serializable boilerplate.
pluginManagement {
plugins { id("com.grarcht.shuttle.cargo") version "4.0.0" } }
The Shuttle Cargo Gradle plugin configures KSP and registers the Shuttle compiler plugin automatically. Without it, @ShuttleCargo-annotated classes will not generate the required serialization glue code.
`build.gradle.kts`:
plugins {
id("com.grarcht.shuttle.cargo") }
dependencies { implementation(platform("com.grarcht.shuttle:shuttle-bom:4.0.0")) implementation("com.grarcht.shuttle:framework") implementation("com.grarcht.shuttle:framework-integrations-persistence") implementation("com.grarcht.shuttle:framework-integrations-extensions-room") implementation("com.grarcht.shuttle:framework-addons-navigation-component") // Optional
// Annotation-based API — use @ShuttleCargo to own the serialization contract implementation("com.grarcht.shuttle:framework-annotations") ksp("com.grarcht.shuttle:framework-annotations-processor") }
Version Catalog (`libs.versions.toml`):
[versions]
shuttle = "4.0.0"
[plugins] shuttle-cargo = { id = "com.grarcht.shuttle.cargo", version.ref = "shuttle" }
[libraries] shuttle-bom = { group = "com.grarcht.shuttle", name = "shuttle-bom", version.ref = "shuttle" } shuttle-framework = { group = "com.grarcht.shuttle", name = "framework" } shuttle-persistence = { group = "com.grarcht.shuttle", name = "framework-integrations-persistence" } shuttle-room = { group = "com.grarcht.shuttle", name = "framework-integrations-extensions-room" } shuttle-navigation = { group = "com.grarcht.shuttle", name = "framework-addons-navigation-component" } shuttle-annotations = { group = "com.grarcht.shuttle", name = "framework-annotations" } shuttle-annotations-processor = { group = "com.grarcht.shuttle", name = "framework-annotations-processor" }
Wire CargoShuttle once as a singleton. With Hilt:
@Provides @Singleton
fun provideShuttle(facade: ShuttleFacade, warehouse: ShuttleWarehouse): Shuttle = CargoShuttle(facade, warehouse)
@Provides @Singleton fun provideShuttleFacade( @ApplicationContext context: Context, warehouse: ShuttleWarehouse ): ShuttleFacade = ShuttleCargoFacade(context as Application, warehouse)
@Provides @Singleton fun provideShuttleWarehouse( dao: ShuttleDataAccessObject, factory: ShuttleDataModelFactory, @ApplicationContext context: Context, gateway: ShuttleFileSystemGateway ): ShuttleWarehouse = ShuttleRepository(dao, factory, context.filesDir.absolutePath, gateway)
The ShuttleDataAccessObject comes from ShuttleRoomDataDb.getInstance(ShuttleRoomDbConfig(context)).shuttleDataAccessObject. Inject Shuttle wherever you need to transport data.
// Source: transport a large Serializable via Intent
shuttle.intentCargoWith(context, DestinationActivity::class.java) .transport(cargoId, myLargeSerializable) .cleanShuttleOnReturnTo(SourceFragment::class.java, DestinationActivity::class.java, cargoId) .deliver(context)
// Destination: pick up the cargo
lifecycleScope.launch { getShuttleChannel() .consumeAsFlow() .collectLatest { result -> when (result) { is ShuttlePickupCargoResult.Success<*> -> render(result.data as MyModel) is ShuttlePickupCargoResult.Error<*
只显示了开头部分;其余内容请在仓库中阅读