A real-time server that provides Flutter/Dart documentation and pub.dev package information to AI assistants, ensuring they generate accurate and up-to-date Flutter code.
Provides advanced Flutter development tools via Model Context Protocol with features including widget analysis, documentation search, performance optimization, and code generation.
Integrates the Pub.dev API with AI assistants to provide real-time Flutter package information, documentation, and trend analysis. It enables users to search for packages, compare versions, and evaluate quality scores through natural language commands.
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.
Enables AI coding agents to extract Figma design data and convert it into Flutter widgets and screens. Supports theme setup, component analysis, asset exports, and provides Flutter implementation guidance from Figma designs.
A Model Context Protocol server that provides Flutter UI templates for development. It enables users to access and integrate pre-built Flutter UI components through MCP-compatible client applications.
Routes one brief to the right image model across 60+ (gpt-image-1.5, Ideogram 3, Recraft V4, Flux), validates the output, and fans out to iOS/Android/PWA/favicon/visionOS/Flutter bundles. Works without an API key via Pollinations, HF Inference, Stable Horde, or host-LLM inline SVG.
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.
Enables AI assistants to search, analyze, and retrieve detailed information about Dart and Flutter packages from pub.dev. Supports package discovery, version management, dependency analysis, and documentation access.
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.
A distributable Model Context Protocol (MCP) server that exposes Dart SDK commands for AI-powered development. This server bridges the gap between AI coding assistants and Dart/Flutter development workflows by implementing the Model Context Protocol (MCP).
An MCP server that enables AI assistants to interact with Flutterwave payment services, providing tools for transaction management, payment link generation, and automated customer support.
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.
Enables analysis of native Android libraries (SO files) and Flutter applications, including decompilation, function identification, SSL certificate bypass patching, and binary modification through 30+ specialized tools.