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The full-stack open source React framework for MCP Apps - MCP apps are the new website: they're real, interactive apps that run right inside AI assistants like ChatGPT and Claude. The tooling to build them didn't exist, so we built it. Meet Skybridge, the React framework that handles the infrastructure and the dev…
Developers building interactive apps for AI assistants face fragmented runtimes, infra and slow dev loops. A full-stack React framework that bundles MCP server, rendering, compatibility, testing tunnel and infra lets teams code once and ship to multiple assistant stores.
Developer teams and indie devs building MCP apps for AI assistants, expanding to SMB product teams that ship assistant-hosted features
5 competitors are named in the Pro brief, with positioning and the gaps they leave open. Hobby ($19) opens the solution, market signals, and go-to-market plan.
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Analysis, scores, and revenue estimates are for educational purposes only and are based on AI models. Actual results may vary depending on execution and market conditions.
Developers running multiple AI coding agents struggle with state, branching, and reproducibility. An IDE that orchestrates parallel agents in isolated git worktrees solves coordination, visibility, and safe experimentation.
Postgres incidents cost hours of debugging across logs and metrics. An AI-first observability autopilot synthesizes internals into a single health score, prioritized fixes, and actionable runbooks so teams resolve incidents faster.
AI agents fail or behave unpredictably because skills are brittle and unmeasured. SkillOpt automates skill authoring, testing, and continuous optimization with instrumentation and learning-based tuning.
Automations and tests fail when apps send six digit OTPs by email. This service reads transactional inboxes, extracts time bound codes reliably, and returns them via a secure API to enable end-to-end automation.
Docs drift from reality and teams rebuild on incorrect assumptions. Use git-native document provenance, CI checks, and AI semantic diffing to keep docs correct, versioned, and testable alongside code. Reduce bugs and onboarding time.
React components lack automated WCAG 2.1 AA verification, causing manual audits and lost dev time. Build an integrated audit suite - eslint rules, CI runner, runtime checks and AI remediation suggestions to cut testing time by 70%.
