mcp_flutter

Name: mcp_flutter
Author: Arenukvern

Verified

MCP Toolkit for Flutter AI Agent Driven Development (MCP/CLI + custom client side tools) - via closed feedback loop (visual & semantic snapshot) and high client side customization adaptable for any Flutter app. Nowadays it is often called as agentic harness.

347stars

40forks

Dart

Installation

# Add to your Claude Code skills
git clone https://github.com/Arenukvern/mcp_flutter

Getting Started

Guides for using ai agents skills like mcp_flutter.

Caveman: Cut Claude Token Use by 65%
How agent-side prompt compression works, when to use it, and when not to.
What is an AI Skills Marketplace?
Definitions, how marketplaces work, and how to choose between them in 2026.
Getting Started with AI Skills

Security ReportVerified

Last scanned: 5/30/2026

{
  "issues": [],
  "status": "PASSED",
  "scannedAt": "2026-05-30T15:00:55.579Z",
  "npmAuditRan": true,
  "pipAuditRan": true
}

README.md

Frequently Asked Questions

What is mcp_flutter?

mcp_flutter is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by Arenukvern. MCP Toolkit for Flutter AI Agent Driven Development (MCP/CLI + custom client side tools) - via closed feedback loop (visual & semantic snapshot) and high client side customization adaptable for any Flutter app. Nowadays it is often called as agentic harness. It has 347 GitHub stars.

Is mcp_flutter safe to use?

Yes. mcp_flutter passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install mcp_flutter?

Clone the repository with "git clone https://github.com/Arenukvern/mcp_flutter" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is mcp_flutter written in?

mcp_flutter is primarily written in Dart. It is open-source under Arenukvern on GitHub, so you can review or fork the full source.

Are there alternatives to mcp_flutter?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh mcp_flutter against similar tools.

Agentic AI for Beginners

Build your first AI agent from scratch - tool use, ReAct pattern, memory, deployment

41 minBeginner

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flutter-mcp-toolkit

Inspect and drive a running Flutter app from your AI assistant.

📖 Docs: docs.page/arenukvern/mcp_flutter
🤝 Contribute: guide · contributors · code of conduct · security

flutter-mcp-toolkit is a Dart MCP server + Flutter package that lets AI Agents (Codex, Zed, Cursor, Intent, Claude Code, Cline, etc..) take (semantic snapshots, tap widgets, type into forms, hot-reload, and read logs from a Flutter app) or create its own tools and resources at runtime using MCP Toolkit — without leaving the conversation and work with Flutter apps in closed feedback loop - see example of it described in OpenAI Agentic Harness.

Watercolor comic infographic explaining flutter-mcp-toolkit: install fmtk, add it to a Flutter app, connect an AI agent, then inspect, tap, reload, and prove changes in a close feedback loop.

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.

View Screenshots

![NOTICE]: Version 4 is currently a prerelease train. Use 4.0.0-dev.5 only if you are intentionally testing the new architecture; otherwise stay on the latest stable 3.x release until 4.0.0 is promoted.

Get started in 4 steps

# 1. Install the binary
curl -fsSL https://raw.githubusercontent.com/Arenukvern/mcp_flutter/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 mcp_toolkit + 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/mcp_flutter -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

2026-05-26 — v3.1.0: Platform-view capture routing, macOS/iOS Simulator host screenshots, web CDP tab capture (SCK → CDP → flutter_layer), and cross-platform showcase platform views.

Install from marketplaces

Platform	Command / link
Any agent (recommended)	`flutter-mcp-toolkit init <agent>` — see AI agent setup
Claude Code (git catalog)	`/plugin marketplace add Arenukvern/mcp_flutter` then install `flutter-mcp-toolkit`
Codex (git catalog)	`codex plugin marketplace add Arenukvern/mcp_flutter`
Cursor (local plugin)	`flutter-mcp-toolkit init cursor`
Skills only	`npx skills add Arenukvern/mcp_flutter -a <agent> -y` (add MCP via `init` or manual JSON)
MCP registries	Smithery, MseeP

Maintainers submitting to official stores: marketplace submission runbook. Full matrix: marketplace distribution.

Documentation

Docs for AI Agent and Human - wiki + llms.txt
Migrating v2 → v3 — fmt_* MCP tools, binaries, client config keys, validate-runtime.
MCPCallEntry to AgentCallEntry migration — MCPCallEntry removal, AgentCallEntry, platform codegen sync, fmt_migrate_agent_entries.
IntentCall consumer guide — hosted intentcall_* dependency policy, consumer proof gates, and the boundary between mcp_flutter and upstream IntentCall architecture.
Why this repo matters — what it is, why it exists.
CLI vs MCP — pick the right mode.
Feature map — the 30 tools.
AI agent setup - for AI Agents.
Marketplace distribution — Claude, Cursor, Codex, skills.sh.
Architecture — for contributors.
Quick Start, Configuration, MCP RPC description

Published packages

Package	Pub.dev	Role
`mcp_toolkit`		Flutter app package for runtime MCP tools/resources and toolkit bootstrap.
`flutter_mcp_toolkit_core`		Pure-Dart shared command/result/capability types.
`flutter_mcp_toolkit_capability_kernel`		Capability kernel contracts for composable MCP units.
`flutter_mcp_toolkit_capability_core`		Server-side `fmt_*` capability implementation.

The server binary lives in mcp_server_dart and is shipped through GitHub Release artifacts as flutter-mcp-toolkit, fmtk, and flutter-mcp-toolkit-server; it is not a pub.dev package.

Development support

Need	Start here
Contribute code or docs	CONTRIBUTING.md · Contribution guide
Add or credit contributors	Contributors guide · `.all-contributorsrc`
Report vulnerabilities	SECURITY.md
Validate local changes	`steward probe --json --profile quick` · `make check-contracts`
Maintain releases	Release train notes · `flutter-mcp-toolkit-repo-maintainer`
Install or update agent skills	AI agent setup · Marketplace distribution

What it does

The default toolkit surface exposes 30 MCP tools under the fmt_* capability prefix across four categories:

Inspection — semantic snapshot, view details, errors, screenshots, VM info
Interaction — tap, scroll, type, fill forms, hot-reload, navigate, wait_for
Debug — recent logs, evaluate Dart expressions
Lifecycle — discover apps, hot-reload, hot-restart

See the flutter-mcp-toolkit-{guide,inspect,control,debug} skills for the full reference (installed by flutter-mcp-toolkit init or npx skills add Arenukvern/mcp_flutter). Install options: [AI agent setup](docs/ai_ag