Arenukvern/mcp_flutter

Flutter toolkit with visual and semantic snapshots for agents

Before you install: no copy-paste command · no license recorded · link reachable

First step: Alternative (skills only): npx skills add Arenukvern/mcpflutter -a cursor -y

View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site

Install & config

Client config (built from the install command this repo gives)

{
  "mcpServers": {
    "arenukvern-mcp-flutter": {
      "command": "npx",
      "args": ["skills"]
    }
  }
}

Parsed from the README we fetched on 2026-11-05; we have not executed it.

command/args come from the install command the repository states. When it is ambiguous, the project README wins.

VS Code (.vscode/mcp.json - the key is servers)

{
  "servers": {
    "arenukvern-mcp-flutter": {
      "command": "npx",
      "args": ["skills"]
    }
  }
}

Same server, but VS Code keeps it under <code>servers</code>.

Claude Code (command line)

claude mcp add --transport stdio arenukvern-mcp-flutter -- npx skills

Claude Code does not read a config file; add the server with this command.

Key names differ by client: Clients & CLI

Source: collected from the abordage/awesome-mcp list · type: MCP server
Harvest history: first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 10 sources
Score: score 1,003 · 10 sources · mcp
Install: npx skills

FAQ (answers come from our records)

How do I install it?

The repository provides this install command: npx skills. It comes from the repository itself; we cannot guarantee it runs as-is in your client.

Who is it for?

We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.

Who maintains it?

first catalogued 2026-11-05；last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.

# 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 |

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Source: awesome · https://github.com/Arenukvern/mcp_flutter
Browse by field: MCP servers
Listed by: 10 independent sources
added: today

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