Claude Desktop
Desktop · Freemium · Proprietary
Anthropic's official Claude AI desktop application. Supports MCP servers to extend functionality.
WindowsMacOS
Developer Tools · Education & Learning
flutter_mcp_2
dvillegastech/flutter_mcp_2
Advanced Flutter development tools via Model Context Protocol (MCP) with intelligent caching, token management, and official documentation integration.
Install
Client configuration
{
"mcpServers": {
"flutter-mcp": {
"command": "node",
"args": [
"/absolute/path/to/flutter_mcp_service/src/index.js"
]
}
}
}- Author
- @dvillegastech
- Category
- Developer Tools, Education & Learning
- License
- MIT
- Updated
- Oct 6, 2026
Features
Intelligent Caching: SQLite + in-memory cache with TTL
Token Management: Smart truncation with GPT-3 encoder
Error Handling: Circuit breaker pattern with retry logic
Rate Limiting: Respectful API usage (2 req/sec)
Official Docs Integration: Real-time Flutter/Dart documentation
Multi-platform: npm, Docker, direct installation
Health Monitoring: Built-in health checks and statistics
Tools (17)
flutter_status
Check service health and cache statistics.
flutter_search
Universal search across Flutter/Dart documentation, packages, and examples.
flutter_analyze
Smart Flutter documentation fetcher and code analyzer.
analyze_widget
Analyze Flutter widget code for best practices, performance, and accessibility.
validate_flutter_docs
Validate code against official Flutter documentation.
analyze_pub_package
Analyze packages from pub.dev for quality and compatibility.
suggest_improvements
Get improvement suggestions based on Flutter best practices.
analyze_performance
Analyze Flutter widget tree for performance issues.
analyze_architecture
Analyze project architecture compliance.
analyze_bundle_size
Analyze app bundle size with optimization recommendations.
generate_tests
Generate comprehensive Flutter tests.
trace_state
Trace state flow and rebuilds in Flutter widgets.
generate_clean_architecture
Generate Clean Architecture structure.
generate_l10n
Generate localization setup with ARB files.
monitor_performance
Generate performance monitoring setup.
diagnose_render_issues
Diagnose and fix rendering issues.
analyze_test_coverage
Analyze test coverage with recommendations.
Details on this page are taken from the project's README. Open README
Supported clients
Clients mentioned in this server's README:
Related MCP servers
Playwright
microsoft/playwright
Playwright is a framework for web automation and testing. It drives Chromium, Firefox, and WebKit with a single API — in your tests, in your scripts, and as a tool for AI agents.
repomix
yamadashy/repomix
Repomix is a tool that packs a codebase into an AI-friendly format, supporting local and remote repository processing and providing code compression, security checks and multiple output formats.
UI-TARS-desktop
bytedance/UI-TARS-desktop
TARS is ByteDance's multimodal AI agent stack, shipping two projects: Agent TARS (a CLI and Web UI agent built on MCP) and UI-TARS-desktop (a desktop GUI agent).
blender
ahujasid/blender-mcp
formerly blender-mcp — the PyPI package is now mcp-for-blender. Existing setups keep working; no config change is required. Read more.
Playwright Browser Automation
microsoft/playwright-mcp
A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models.
2344
comet-ml/opik
Opik is the open-source LLM observability and evaluation platform for AI agent tracing, LLM evaluation, prompt management, and production monitoring. Built by Comet. Apache-2.0 licensed, free to self-host the full platform, with 20,000+ GitHub stars.