"Ayuda para mejorar el diseño de aplicaciones en Flutter" matching MCP servers:

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.

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.

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

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.

Enables AI coding assistants to search, retrieve, and reuse validated Flutter animations with documented pitfalls, directly integrable into Claude Code or Cursor.

Provides Flutter best practices, code analysis, and state management recommendations for senior developers.

Enables interaction with the Flutter SDK by providing tools to analyze and apply fixes to Dart and Flutter files.

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.

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.

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.

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.

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

Enables users to browse, search, filter, and select project skills through an interactive interface, then confirms the selection so the chosen instructions and customizations are applied to the site project.

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

Local-first MCP server providing deterministic Flutter/Dart static analysis, knowledge search, and project review with structured insights and confidence-based findings over an indexed SQLite store of official repositories.

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.

Connects AI assistants to GitLab projects, enabling natural language queries for merge requests, code reviews, pipeline tests, job logs, and commit discussions with support for responding to comments.

A minimal TypeScript MCP starter server that counts words and characters, ready to extend with custom tools.

Integra agentes de desenvolvimento ao sistema Gestão de Tarefas, permitindo gerenciar projetos, demandas, sprints e tarefas com suporte a fila offline e sincronização posterior.