"Flutter" matching MCP servers:

An MCP server that gives AI agents eyes and hands to visually interact with running apps across 10 platforms, enabling natural language-driven testing and automation without test code.

An MCP server that diagnoses Flutter + Stripe (flutter_stripe) setup issues — so Claude can check your project automatically.

Enables debugging Flutter apps on Android by exposing the widget tree and source locations, supporting hot reload and pixel-level UI diffs, along with filtered Android logs, crash traces, and device interaction.

Provides advanced Flutter development tools via Model Context Protocol with features including widget analysis, documentation search, performance optimization, and code generation.

A Model Context Protocol server that connects Flutter apps with AI coding assistants like Cursor, Claude, and Cline, enabling AI-powered analysis of widget trees, navigation, and layout issues.

Translation QA for i18n locale files. Deterministic validators — missing keys, placeholder drift, collapsed plurals, glossary breaches — that need no API key, plus a review tool that hands translation pairs and judging criteria back to the calling agent, so meaning-level review runs on the model your client already has. Translation with your own LLM key is optional. JSON, Flutter .arb, Apple .

Share Android and iOS builds with testers from your AI agent. Sets up the build for Expo, React Native, Flutter or native apps, uploads the .apk or .ipa, and returns an install link and QR code, plus tester feedback.

Enables MCP-compatible agents to audit an entire repository through one question, detecting stacks and running parallel checks for dead code, dependencies, security, CVEs, complexity, and lint across Laravel/PHP, Python, TypeScript/React, and Flutter/Dart. It returns normalized, severity-sorted findings with false positives flagged and secret values kept out of the output.

MCP server that gives AI coding assistants the ability to see and interact with mobile devices. 49 tools for Android/iOS — AI-powered visual analysis (Claude + Gemini), smart tap/type by description, Flutter widget tree inspection, video recording, and test script generation. 4-tier element search with <1ms local matching. Free tier included, zero setup via npx.

A Model Context Protocol server that lets an AI agent drive the whole Clutter pipeline to invent a synthetic company, generate its documents, spreadsheets, emails, images and datasets, poll for completion, and fetch download URLs through Clutter's public REST API.

Transforms AI assistants into mobile development powerhouses with 36 tools for Flutter, Android, and iOS development, including intelligent device management, automated builds, testing, and deployment workflows.

Facilitates unified execution and result parsing for various testing frameworks, including Bats, Pytest, Flutter, Jest, and Go, through a Model Context Protocol interface.

Enables comprehensive control of Android devices via ADB for Flutter development, UI testing, and visual QA workflows. Provides 60+ tools for device management, UI inspection, app testing, performance profiling, and debugging through natural language.

An MCP server for headless mobile QA automation that controls real Safari, Flutter, and native iOS apps on Xcode Simulators via WebKit Remote Debugging Protocol, enabling parallel multi-device testing and persistent login sessions.

Enables agents to drive Flutter end-to-end automation through MCP, using stable ValueKeys for interactions and assertions, recording/replaying scenarios, and supporting native Dart VM service plus web JS/CDP transports.

AI-powered E2E testing MCP server. Point at a URL — AI generates test scenarios, runs Playwright tests, and self-heals failures automatically. Works on Canvas and Flutter Web apps.

Exposes 35 stdio JSON-RPC tools that let AI agents snapshot the Flutter Semantics tree, drive gestures, capture screenshots, and observe live app state against running Flutter apps over VM Service.