AI that actually understands Flutter
When Claude, Cursor, and other AI assistants write Flutter code, they produce generic output. They do not know your project's architecture, your team's naming conventions, or Flutter-specific pitfalls like widget tree depth, state management patterns, or platform-specific edge cases.
InkPal closes that gap. It is a comprehensive MCP server that gives AI assistants deep Flutter intelligence — 11,458+ real code patterns, Figma-to-Flutter pipelines, visual regression testing, production monitoring, and App DNA that teaches AI your specific codebase patterns.
We are not a generic code generator. Every one of our 157 tools was built specifically for Flutter and Dart, tested against real production apps, and designed to work the way Flutter developers actually work.
By the Numbers
Democratizing Flutter Development
We believe every Flutter developer, from solo indie hackers to enterprise teams, should have access to AI tools that truly understand the framework.
Flutter-First
Every tool is designed for Flutter and Dart. No generic wrappers. No afterthoughts. Flutter is the entire focus.
Developer Experience
Tools should disappear into your workflow. One MCP connection, and your AI assistant gains 157 Flutter superpowers.
Real-World Tested
Built and tested against production Flutter apps across fitness, fintech, and healthcare. Not academic — practical.
Built by Flutter Developers
Tejpal Singh
Full-stack Flutter developer and tooling enthusiast. Built InkPal to bridge the gap between AI reasoning and Flutter-specific intelligence. Has shipped Flutter apps across fitness, fintech, and healthcare. Believes developer tools should understand the framework they serve — not just generate code, but generate the right code for the right architecture.
Tech Stack
Built on proven, production-grade technologies.
Project Milestones
From first commit to full platform — the InkPal timeline.
Project Inception
Started building DartMind as a Flutter code generation engine with pattern-based intelligence. Core architecture designed around Constitution, Cortex, and Safety gates.
Core Engine
400+ TypeScript files, 50K+ lines of code. Pattern search with Supabase pgvector, Figma pipeline, safety gates, blast radius analysis, and error database all operational.
MCP Server Launch
157 tools across 12 domains connected to Claude via MCP protocol. Visual testing, ADB interaction, FABRICATE, SHIP, and PRODUCTION suites all live.
inkpal_bridge on pub.dev
Published inkpal_bridge@1.0.1 — zero third-party deps, 30+ WebSocket commands, 26 VM extensions. License-gated tiers for free, pro, and studio users.
Production Monitoring Suite
Crash analytics, user flow tracking, funnel analysis, health dashboards, and AI-powered root cause analysis. Full observability from code to production.