A
Arenukvern/mcp_flutter
Flutter toolkit with visual and semantic snapshots for agents
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
安装与配置
客户端配置（取自该仓库的安装命令）
{
"mcpServers": {
"arenukvern-mcp-flutter": {
"command": "npx",
"args": ["skills"]
}
}
}解析自我们于 2026-11-05 抓取的该仓库 README；我们未执行过。
command/args 来自仓库写明的安装命令；不确定时请以该项目 README 为准。
VS Code（.vscode/mcp.json —— 键名是 servers）
{
"servers": {
"arenukvern-mcp-flutter": {
"command": "npx",
"args": ["skills"]
}
}
}VS Code 顶层键是 <code>servers</code>，其余与上面那份相同。
Claude Code（命令行）
claude mcp add --transport stdio arenukvern-mcp-flutter -- npx skills
Claude Code 不收 JSON 文件，用这条命令直接加。
配置项的键名以你的客户端为准：客户端与 CLI
- 来源明细
- 收录自 abordage/awesome-mcp 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
- 收录与活跃
- 收录于 2026-11-05 · 最近见到 2026-11-14 · 共见到 10 次 · 被 10 个来源列出
- 评分构成
- 综合分 1,003 · 10 个来源 · mcp
- 安装
npx skills
常见问题（答案都来自我们的记录）
怎么安装？
该仓库给出的安装命令是
npx skills。我们的记录里它是仓库自己提供的；不保证在你的客户端上直接可用。它适合谁 / 用来做什么？
我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
我们收录于 2026-11-05；最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
# flutter-mcp-toolkit
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
Inspect and drive a running Flutter app from your AI assistant.
📖 Docs: docs.page/arenukvern/mcpflutter
🤝 Contribute: guide · contributors · code of conduct · security
flutter-mcp-toolkit is a Dart MCP server + Flutter package for AI agents (Codex, Zed, Cursor, Intent, Claude Code, Cline, and more). Agents can inspect a running Flutter app, take semantic snapshots, tap widgets, type into forms, hot-reload, and read logs. Apps can also register their own MCP tools and resources at runtime via MCP Toolkit — all without leaving the conversation. The result is a closed feedback loop between agent and app.
And one step further: the toolkit is becoming a chain of declarative automation APIs — the same observe/act/verify vocabulary runs through interactive MCP (fmt), the CLI, programmatic Dart scenarios (fluttermcpharness), and declarative build+lifecycle runners like oka, all over the universal AutomationDriver contract. See The Automation Chain. (OpenAI describes this pattern as harness engineering.)
The picture's story: the toolkit gives an AI assistant a shared window and control loop into a running Flutter app, so it can inspect state, act like a user, hot reload, read proof, and use custom tools from your app instead of guessing.
## Get started in 4 steps
bash
# 1. Install the binary
curl -fsSL https://raw.githubusercontent.com/Arenukvern/mcpflutter/main/install.sh | bash
# Installs flutter-mcp-toolkit plus the short fmtk alias for repeated CLI loops.
# 2. Add the toolkit to your Flutter app
cd my-flutter-app
flutter-mcp-toolkit codegen-init # adds mcptoolkit + emits main.dart snippet
# 3. Install skills for your AI agent
flutter-mcp-toolkit init claude-code # or: cursor | codex | cline | agents-skills | all
# Alternative (skills only): npx skills add Arenukvern/mcpflutter -a cursor -y
# 4. Run
flutter run --debug
That's it. Your AI agent can now inspect and drive the running app — and your app can expose custom MCP tools at runtime (see Dynamic Tools Registration below).
## 📰 News
2026-10-02 — 6.0.0 released: the invoke tier (ADR-0017) — the app's intent registry is the single action source; the harness driver lists (driver.actions()) and invokes it (InvokeAction) with schema-validated args, IntentAutomationAction.custom routes hints, and any web surface (Jaspr, plain JS) composes via window.mcpActions. fluttermcpharness 0.2.x on pub.dev; server 6.0.0 on the MCP registry.
2026-10-01 — The toolkit is becoming a chain of declarative automation APIs: universal AutomationDriver contracts (universalautomation), the programmatic fluttermcpharness package, and oka as the build+lifecycle runner. New: The Automation Chain guide + flutter-mcp-automation-chain skill.
2026-07-11 - v4 new Live Demos records: v4 semantic snapshot etc.. with Grok Build CLI, v4 with IntentCall power - WebMCP projection
2026-05-26 — v3.1.0: Platform-view capture routing, macOS/iOS Simulator host screenshots, web CDP tab capture (SCK → CDP → flutterlayer), and cross-platform showcase platform views.
## Install from marketplaces
| Platform | Command / link |
| Any agent (recommended) | flutter-mcp-toolkit init — see AI agent setup |
📖 Docs: docs.page/arenukvern/mcpflutter
🤝 Contribute: guide · contributors · code of conduct · security
flutter-mcp-toolkit is a Dart MCP server + Flutter package for AI agents (Codex, Zed, Cursor, Intent, Claude Code, Cline, and more). Agents can inspect a running Flutter app, take semantic snapshots, tap widgets, type into forms, hot-reload, and read logs. Apps can also register their own MCP tools and resources at runtime via MCP Toolkit — all without leaving the conversation. The result is a closed feedback loop between agent and app.
And one step further: the toolkit is becoming a chain of declarative automation APIs — the same observe/act/verify vocabulary runs through interactive MCP (fmt), the CLI, programmatic Dart scenarios (fluttermcpharness), and declarative build+lifecycle runners like oka, all over the universal AutomationDriver contract. See The Automation Chain. (OpenAI describes this pattern as harness engineering.)
The picture's story: the toolkit gives an AI assistant a shared window and control loop into a running Flutter app, so it can inspect state, act like a user, hot reload, read proof, and use custom tools from your app instead of guessing.
## Get started in 4 steps
bash
# 1. Install the binary
curl -fsSL https://raw.githubusercontent.com/Arenukvern/mcpflutter/main/install.sh | bash
# Installs flutter-mcp-toolkit plus the short fmtk alias for repeated CLI loops.
# 2. Add the toolkit to your Flutter app
cd my-flutter-app
flutter-mcp-toolkit codegen-init # adds mcptoolkit + emits main.dart snippet
# 3. Install skills for your AI agent
flutter-mcp-toolkit init claude-code # or: cursor | codex | cline | agents-skills | all
# Alternative (skills only): npx skills add Arenukvern/mcpflutter -a cursor -y
# 4. Run
flutter run --debug
That's it. Your AI agent can now inspect and drive the running app — and your app can expose custom MCP tools at runtime (see Dynamic Tools Registration below).
## 📰 News
2026-10-02 — 6.0.0 released: the invoke tier (ADR-0017) — the app's intent registry is the single action source; the harness driver lists (driver.actions()) and invokes it (InvokeAction) with schema-validated args, IntentAutomationAction.custom routes hints, and any web surface (Jaspr, plain JS) composes via window.mcpActions. fluttermcpharness 0.2.x on pub.dev; server 6.0.0 on the MCP registry.
2026-10-01 — The toolkit is becoming a chain of declarative automation APIs: universal AutomationDriver contracts (universalautomation), the programmatic fluttermcpharness package, and oka as the build+lifecycle runner. New: The Automation Chain guide + flutter-mcp-automation-chain skill.
2026-07-11 - v4 new Live Demos records: v4 semantic snapshot etc.. with Grok Build CLI, v4 with IntentCall power - WebMCP projection
2026-05-26 — v3.1.0: Platform-view capture routing, macOS/iOS Simulator host screenshots, web CDP tab capture (SCK → CDP → flutterlayer), and cross-platform showcase platform views.
## Install from marketplaces
| Platform | Command / link |
| Any agent (recommended) | flutter-mcp-toolkit init — see AI agent setup |
收录徽章（可选）
想把收录标记放进 README 就复制这行，可选，不影响收录。
[](https://anclum.com/zh/s/arenukvern-mcp-flutter/)
- 来源
- awesome · https://github.com/Arenukvern/mcp_flutter
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- MCP 服务
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