"Information or resources related to Flutter" matching MCP servers:

Provides Flutter and Dart reference data, code generation, live API lookups, and a verified sample corpus for AI coding assistants, enabling efficient Flutter development with accurate guidance and boilerplate generation.

Gives AI coding agents live, cached access to current Flutter, Dart SDK and pub.dev documentation returned as clean markdown, resolving class names, identifiers and packages on demand instead of relying on a model's memory. Also provides ranked name search over thousands of classes and a politeness layer with robots.txt compliance, throttling, conditional GETs and request budgets.

Connects AI coding clients to a running Flutter app's Dart VM Service so they can stream live exceptions with stack traces, logs, network calls, frame timings, memory, rebuild attribution and navigation state as structured tool results. It also correlates that evidence into root-cause diagnoses with confidence and suggested fixes, and streams everything to a browser dashboard.

Web scraper and token compressor that converts HTML to clean markdown with 70-80% fewer tokens. Single-page compression and multi-page BFS crawling with auto-fallback fetch modes.

Enables building Flutter and Dart apps through a multi-agent system that orchestrates specialized agents for UI design, backend development, testing, and deployment.

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.

An MCP server that wraps Flutter CLI tools into structured, agent-friendly tools for AI coding agents, with features like two-phase test results, output capping, and managed app lifecycle.

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.

An MCP server that lets AI agents see, tap, type, scroll, and assert inside live Flutter apps — no pre-written tests required.

Enables Flutter developers on Windows or Linux to build, sign, test, and ship iOS apps without a Mac, using GitHub Actions macOS runners, App Store Connect API, remote Macs, and USB-connected iPhones.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

Enables Android APK reverse engineering and Flutter runtime injection through a six-step pipeline of decompile, analyze, synthesize, inject, patch, and repackage. Provides MCP tools for authorized security research and penetration testing.

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

Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.

AI-powered MCP server for file renaming, organization, and PDF splitting using natural language prompts and content analysis.

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.

Enables turning requirements documents into RFCs, functional test scenarios, and a traceability matrix, with tools to parse, diff, and verify coverage.

Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.