Main MGX AI features

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No-Code AI App Builder

MGX provides a no-code platform for building AI applications using agent workflows and preconfigured components. Users design behaviors through visual flows, set data inputs, and map outputs into interfaces without traditional programming. The platform handles model orchestration, API connections, and state management while offering built-in templates for common use cases. Product teams, educators, and small businesses can produce functional prototypes rapidly, validate concepts with live data, and iterate user experiences through a streamlined interface and integrated testing sandbox environment today

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Visual Drag-and-Drop Editor

The editor offers an intuitive drag-and-drop canvas that arranges UI components, data bindings, and AI modules with instant feedback. Designers resize elements for multiple screen sizes and preview interactions in real time to confirm behavior before publishing. Component properties, conditional logic, and event handlers are accessible through simple controls, letting nondevelopers craft polished interfaces. Built-in accessibility options and responsive grids simplify layout tasks. Collaborative editing supports comments and version history, so teams refine designs across iterations with shared permissions control

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Pre-Trained Models and Smart Templates

A library of pre-trained models and templates accelerates development by providing starting points for chatbots, image analysis, and predictive workflows. Templates include prewired data schemas, UI layouts, and sample agents configured for customer support, analytics dashboards, or inventory forecasting. Teams can swap models, tune prompts, and attach external APIs without building pipelines from scratch. Continuous learning features let templates adapt as user data grows. Admins control access, update versions centrally, and distribute template-based applications across projects to keep deployments consistent

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Multi-Platform Deployment and Custom Domains

MGX supports publishing apps to web with custom domains and to mobile stores with release workflows. A one-click deployment pipeline packages assets, provisions hosting, and configures DNS entries when needed. Mobile builds are prepared for App Store and Google Play submission with automated manifest generation and compliance checks. Rollback options, staged rollouts, and environment variables let teams manage releases with control. Integrated monitoring provides performance metrics and uptime alerts after launch, helping owners keep user experiences stable during traffic spikes

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Native Mobile App Development

MGX gives teams templates and toolchains tailored for iOS and Android native development without manual setup. Visual workflows generate platform-specific code, resource sets, and adaptive layouts optimized for different device classes. Developers can add device features like push notifications, camera access, and sensors through declarative modules. The platform runs build agents to compile binaries, sign packages, and run tests. After validation, deployment helpers guide submission to stores. This approach reduces friction for teams building polished mobile experiences aligned with conventions

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Workflow Automation and Integrations

Integrated workflow tools let teams model business processes, automate routine tasks, and connect external services using a visual orchestration layer. Dragged connectors link CRMs, databases, messaging platforms, and payment gateways to application logic without writing adapters. Conditional routing, approval steps, and scheduled jobs keep operations organized and auditable. Built-in connectors and a robust API system support custom integrations when needed. Administrators monitor queues, retry failed jobs, and audit histories to maintain operational continuity while reducing manual overhead and response times

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Data Intelligence and Predictive Analytics

Powerful analytics modules ingest streams and stored datasets to produce dashboards, anomaly detection, and forecasting models tailored to operational needs. Users map metrics, define KPIs, and configure visualizations that update in real time as new events arrive. Predictive components run simulations to project trends, demand, and risk factors using historical patterns and model ensembles. Export options, scheduled reports, and role-based access help teams act on insights. Administrators tune refresh intervals, allocate compute for heavy tasks, and track model drift constantly

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Secure Sandbox and Deployment Controls

A dedicated sandbox environment isolates development builds for safe functional testing, security scans, and user acceptance checks before release. Teams simulate real traffic patterns, perform load tests, and examine AI outputs under controlled conditions. Role-based access, encryption at rest and in transit, and configurable audit logs protect sensitive data and comply with industry requirements like HIPAA. CI/CD integrations automate tests and deployment gates, while rollback routines and staged rollouts reduce risk during releases and maintain service continuity for end users

How to make websites with MGX AI Website Generator?

1. Define Project Goals

Provide a clear summary of site purpose, target audience, required features, and design preferences. List content types, pages, and any third-party services to integrate. Share sample assets and access credentials for repositories or databases. Assign priorities for functionality and timelines so the AI team can plan tasks. Confirm hosting choices and domain details to align backend setup. Finalize acceptance criteria to guide automated testing and iterative refinements before launch delivery.

2. Configure Agents and Workflow

Set up agent roles and assign responsibilities across product, architecture, development, and data analysis. Provide SOP preferences and define communication cadence for status updates and approvals. Specify version control branches, commit conventions, and review rules to maintain modular code. Input API keys and service endpoints for integrations. Configure build scripts, test suites, and deployment targets to synchronize automated pipelines with project milestones and release windows for ongoing optimization cycles regularly.

3. Generate Frontend and Backend

Provide wireframes, content outlines, and design tokens to guide frontend creation. MGX produces responsive HTML, CSS, and JavaScript components tailored to specified layouts and accessibility standards. Simultaneously it generates serverless backend schemas and API endpoints integrated with Supabase or preferred services. Request database models, authentication flows, and webhook handlers. Review code artifacts in repository, run automated tests, and request iterative refinements until user interface and data flows meet acceptance criteria.

4. Deploy and Manage Repository

Authorize MGX to push modular code to your GitHub or GitLab repository and set access permissions. Confirm CI/CD pipeline triggers, environment variables, and secret management policies. Monitor automated deployments and rollbacks via deployment logs and analytics dashboards. Schedule routine backups, migrations, and version tagging to preserve history. Request support for additional languages and integrations in backlog. Maintain documentation and testing records to keep maintenance efficient and transparent for future contributors.

MGX AI Reviews

GitHub user myevolve reported in 'Several issues persist - prevents using metagpt for anything serious. #1769' that after about one hundred hours running MetaGPT with openrouter:anthropic/claude-3.7-sonnet they encountered repeated failures, stalled tasks, and erratic agent loops. The post cited integration fragility, JSON and connection errors, inconsistent outputs, and insufficient recovery tooling, which collectively made the framework unreliable for sustained projects and daily developer workflows and significantly delayed issue resolution timeframes.

GitHub user sieu-n, in issue 'Single-agent GPT-4 baselines so under-reported in general. #418', questioned reported benchmark numbers and reproducibility. The commenter documented higher HumanEval scores in external tests and argued MetaGPT's paper under-reported baselines, prompting debate. The post requested clarification about evaluation procedures and warned that inconsistent benchmarking undermines trust in performance claims, creating skepticism among implementers trying to compare agent frameworks fairly and slowing adoption by cautious users worldwide.

GitHub user jachenms opened 'metagpt run issue #1418' after encountering folder rename errors and execution anomalies while running MetaGPT. The report included logs showing failed renames, missing workspace switches, and cascading file system errors that halted runs. The user emphasized the need for clearer failure modes, better diagnostic messaging, and resilient folder management, noting that such low-level faults repeatedly interrupted development cycles and forced manual recovery steps over months often.

ProductHunt reviewer Sai Tharun Kakirala, in the MGX (MetaGPT X) review, praised the concept but warned that context handling and reliability require refinement before real deployments. He noted pricing friction and integration depth as barriers that limited adoption for serious projects. The reviewer urged clearer documentation and stability improvements, saying early enthusiasm is tempered by practical hurdles that prevent smooth handoff to production teams and long term maintenance and rollout.

ProductHunt user Ayesha Mallick wrote that MGX shows promise but still lacks production readiness. In her review she highlighted context mismatches, occasional hallucinations, and credit limits that interrupt longer tests. Mallick recommended improved error messages, deeper integrations, and expanded quota for trial users so evaluators can validate real projects. Her account reflected cautious optimism tempered by practical blockers that made continuous evaluation difficult for small teams during pilot phases regularly.

Dispatch AI, on TheDispatch.ai in 'OSS Report: geekan/MetaGPT', catalogued frequent integration and configuration problems affecting MetaGPT and MGX. The report listed API integration failures, configuration complexity, JSONDecodeError incidents, and documentation gaps that slowed new users. It warned that the high volume of issues and repeated error types create a steep onboarding curve, increasing setup time and reducing confidence for teams evaluating the platform during trials and pilot deployments across contributors.

Coglist, in 'MetaGPT X - Reviews,Features,Pricing & Alternatives 2025', flagged recurring code quality defects and limited debugging support when generated code failed. The summary called out absence of a visual builder and noted that non-technical evaluators struggled to fix agent-produced code. Coglist advised that without clearer debugging paths and friendly no-code tooling, many prospective users would face a steep barrier to adopt MGX for routine product development and test efficiency.

AIPure, in its MGX review 'MGX (MetaGPT X) Review: The Revolutionary AI Development Team in 2025', listed several practical limitations. The article mentioned a steep learning curve for non-developers, credit and tier limits that expire projects, longer queue times on free plans, and missing advanced deployment features. The writeup concluded that while prototyping speed was impressive, operational constraints and costs could block broader adoption for enterprise pilots without clear mitigations.

ShowMeBest.ai, in its MGX listing, warned about hallucinations, occasional inaccuracies, and limited advanced features for custom domains in the free tier. The entry pointed to archive notes about queue delays and suggested that teams requiring reliable production outputs might encounter surprising errors. The summary urged careful vetting for complex business logic, since intermittent inaccuracies and limited enterprise features could complicate regulatory or mission critical deployments in high risk contexts frequently.

Hacker News commenter ketanip, on the thread 'MetaGPT：Open-Source Framework for Innovative AI-Powered Applications', questioned whether MetaGPT could automate basic CRUD app creation reliably, likening expectations to WordPress for websites. The comment reflected skepticism about maturity for production-grade tasks and implied that current demos may not translate into stable developer tooling. The post urged realistic benchmarks and robust deployment paths before widespread adoption by engineering teams evaluating options in practice.

MGX AI Pricing

MGX AI Website Builder — Pricing snapshot

Data current as of September 24, 2025.

Free plan

Price: $0. Daily credits: 750,000 (refreshed daily). Monthly cap: 2.5M credits. Storage: 2 GB disk. Sharing: unlimited project sharing. Intended for light or trial use.

Paid plans & tiers

Three primary paid categories are shown on the official site: Pro (popular entry tier), Max (higher‑capacity tier), plus flexible higher credit tiers. Default Pro starts at $20/month (10M credits/month). Pro also lists higher credit tiers such as $50 (25M) and $70 (35M). Max starts at $100/month (50M credits/month) with larger tiers at $200 (100M), $300 (150M) and options up to 1B credits. Paid plans add private projects, larger disk quotas, data download, badge removal and code editing.

Plan comparison

Plan	Price (USD)	Monthly credits	Daily credits	Disk	Key extras
Free	$0	2.5M	750K	2 GB	Unlimited sharing; limited advanced features
Pro (default)	$20 / month	10M	750K	10 GB	Private projects, download data, remove MGX badge, edit code
Pro (higher tiers)	$50 / $70	25M / 35M	750K	10 GB	Same Pro features with larger credit allotments
Max (default)	$100 / month	50M	750K	40 GB	2× compute, Race mode option, higher accuracy and storage
Max (higher tiers)	$200 / $300 (and up to 1B credits)	100M / 150M / up to 1B	750K	40 GB+	More compute, improved accuracy (Boost/Race modes)

Notes: daily fixed credits (750K) are used first, then subscription credits and bonus credits. Unused credits may carry over one month in certain cases (upgrades, system bonuses, invites, redemption codes). Subscriptions auto‑renew monthly; upgrades take effect immediately while downgrades take effect after the billing cycle.

Coupons & promotions

No publicly listed, ongoing coupon codes are displayed on the official pricing page. The platform supports redemption codes issued during official MGX events and grants bonus credits for activities such as inviting users; promotional plan redemption is mentioned in the MGX changelog and billing docs. If you need a discount or special package, check official MGX channels (Help Center, Discord, official events) for temporary codes or event promotions.

Best overall plan (recommendation)

For most users seeking a balance of credit volume, features and cost, the Pro tier (starting at $20/month for 10M credits) is marked as the site’s popular choice and is a practical starting point; scale up within Pro or move to Max if sustained high throughput or greater compute and storage are required. For heavy production use or enterprise workloads, Max and its higher tiers are the appropriate match.

Build and publish website with AI

FAQ

What is MGX AI Website Builder?

MGX AI Website Builder at https://mgx.dev/ is an automated web creation tool that transforms user prompts and content into responsive, professional websites. It integrates AI templates, content generation, image handling, and deployment features to produce functioning pages quickly with customizable SEO options.

How does MGX AI generate websites?

MGX AI uses machine learning models to interpret prompts, select layouts, and produce HTML, CSS, and assets. It analyzes provided text, images, and brand inputs, then assembles pages with responsive behavior, meta tags, and basic SEO. Final output can be edited manually before export or live publishing by site owners.

How do I start using MGX AI?

Sign up at https://mgx.dev/, verify email, then access the builder dashboard. Create a new project, provide logo, brand colors, business description, and content prompts. Pick a template, review auto-generated pages, adjust layout and copy, preview on devices, then publish or download site files for hosting or share a custom domain.

Do I need design or coding skills?

No. MGX AI creates layouts, style rules, and code automatically, so nontechnical users can launch functional sites. Users who know design or HTML can refine templates, tweak CSS, or insert custom scripts. The interface offers drag controls and content editors for straightforward visual updates and asset management with export options.

Is there a free version of MGX AI?

MGX AI provides a free tier with limited templates, basic AI content output, and a trial publishing option. Free accounts usually add branding or usage caps. Upgrade paths remove limits, enable custom domains, and enable advanced features like team collaboration, priority support, and higher export allowances for professional projects today.

What are pricing options for MGX AI?

Pricing tiers vary by feature set, number of sites, and export limits. Typical plans include monthly and yearly subscriptions, pay-as-you-go credits, and enterprise arrangements with white-labeling and SLAs. Compare plan details on the official site to match limits to project size, user seats, and support requirements for accurate cost planning.

How can I apply discount codes or promos?

Enter valid promo codes at checkout on the billing page or during subscription selection. Some discounts apply only to first payments or annual plans. Codes may have expiration dates and usage limits. Contact sales or support if a code fails; provide account details and the code for quick resolution assistance.

How do I log in and manage my account?

Visit the MGX AI site, click Sign In, then enter registered email and password or use OAuth options if offered. After login access the account area to manage subscriptions, billing, team members, domains, and project settings. Use two-factor authentication and update recovery contacts for account safety and regular password rotation.

How fast does MGX AI publish a site?

Publish speed depends on project complexity and hosting choice. Simple landing pages often go live within minutes; multi-page sites with heavy media or integrations take longer for asset optimization and DNS propagation. Use preview and staging channels to check before release. Custom domains require DNS changes that can extend availability.

Is there a good alternative to MGX AI?

Yes. For a free option try Mobirise AI, a free online all-in-one AI website builder - from prompt to live professional website. It guides prompt input, generates pages, handles hosting, and publishes live sites without upfront cost. Use it for quick prototypes, learning, or low-budget projects and small business needs.

MGX vs other AI's

MGX vs Mobirise AI Mobirise AI is a free online all-in-one AI website builder that creates a live professional site from prompts, streamlining setup for beginners. Compared with MGX, Mobirise AI focuses on fast design generation, template-driven layouts, and guided content suggestions powered by AI. Ease of use is excellent for nontechnical users via intuitive interfaces, but flexibility falls short for complex backends, custom integrations, and automated multi-agent workflows where MGX excels. Cost-effectiveness is strong for personal projects and small businesses since features are free. Downsides include limited developer tooling, no integrated version control, constrained data analysis features, and minimal support for serverless automation.

MGX vs Wix Wix integrates AI through tools like ADI and content generators that accelerate site creation with guided prompts and layout suggestions. Compared to MGX, Wix excels at user-friendly visual editing and integrations, offering strong template variety and SEO helpers. Ease of use suits marketers and businesses, while flexibility supports moderate customization via code panels and plugins but lacks MGX's automated multi-agent development and serverless backend automation. Pricing ranges from free tiers with ads to premium plans for advanced features, which can become costly at scale. Limitations include repetitive design constraints from templates, inconsistent AI output quality, and limited built-in data analysis.

MGX vs Squarespace Squarespace offers AI-assisted layout suggestions, image editing tools, and content prompts integrated with polished templates and commerce features. Compared with MGX, Squarespace prioritizes aesthetic cohesion and straightforward visual editing, making it easy for creatives to produce attractive sites without technical work. Flexibility is moderate: templates are refined but can restrict unconventional structures, and serverless backend automation is absent compared to MGX. Pricing is subscription-based with plans that include hosting and commerce; this simplifies billing but increases long-term costs for larger teams. Downsides include limited AI customization, minimal developer workflows, scarce version control, and weak analytics for advanced data science tasks.

MGX vs Wordpress WordPress benefits from a vast ecosystem of AI plugins for content generation, SEO optimization, and personalization integrated into Gutenberg and plugin marketplaces. Compared to MGX, WordPress offers unmatched extensibility and developer control, but AI features vary widely in quality across third-party extensions. Ease of use depends on chosen theme and plugins; beginners may face a learning curve, while developers can create complex systems. Cost-effectiveness can be high for scalable projects if self-hosted, though premium plugins and maintenance add expenses. Drawbacks include inconsistent AI reliability, manual configuration for serverless backends, version control dependent on external tools, and fragmented data analytics capabilities.

MGX vs Shopify Shopify incorporates AI tools for product descriptions, image optimization, and merchandising recommendations aimed at e-commerce conversion improvements. When compared with MGX, Shopify excels at turnkey commerce operations, inventory and payments integrations, but AI development focus is narrow toward retail use cases. Ease of use is strong for merchants with guided setup and app store extensions; flexibility for custom backend logic is limited unless using development platforms. Pricing reflects transaction fees and subscription tiers, making costs rise with growth. Cons include constrained non-commerce AI capabilities, limited built-in data science beyond dashboards, dependence on third-party apps for advanced automation, and versioning support.

MGX vs Godaddy GoDaddy offers AI-assisted site creation, headline generators, and basic SEO tools oriented at small businesses that need quick presence. Against MGX, GoDaddy prioritizes speed and simplicity with guided creation wizards, instant hosting, and domain integration, but lacks advanced AI automation, multi-agent orchestration, and serverless backend generation. Ease of use is high for nontechnical owners, yet flexibility is constrained for custom workflows and deep integrations. Pricing is competitive for starter plans but scales with add-ons and marketing features. Drawbacks include limited AI sophistication, sparse analytics for data modeling, weak developer tooling, minimal support for code-driven deployments, and limited customization options.

MGX vs Webflow Webflow combines visual design control with a powerful CMS and emerging AI assistants that suggest copy and layout tweaks. Compared with MGX, Webflow offers deep frontend flexibility and production-ready code exports, suited for designers and agencies, but its AI features remain nascent relative to MGX's coordinated agent workflows and automated backend provisioning. Ease of use requires design knowledge; non-designers face a steeper learning curve. Cost-effectiveness depends on project complexity since premium plans and hosting add up. Cons include limited out-of-the-box AI automation, sparse native data science tools, reliance on external services for serverless logic, and a higher learning threshold overall.

Builder	Ease of use	Flexibility	Cost-effectiveness	AI features	Cons
Mobirise AI	Extremely simple; prompt-to-live workflow ideal for nontechnical users.	Limited for complex backends or bespoke integrations.	Free core offering makes it the best alternative for quick projects.	AI-driven templates, content suggestions, instant hosting from prompts.	Minimal developer tooling, no integrated version control, basic analytics.
Wix	Very user-friendly with ADI and drag interfaces.	Moderate; template-based with code panels and plugins for expansion.	Accessible entry pricing, can get costly with premium tiers and apps.	ADI, content generators, SEO suggestions; quality varies by context.	Template constraints, inconsistent AI output, limited advanced analytics.
Squarespace	Smooth visual editing tailored to creatives.	Moderate; strong design controls but constrained for unconventional builds.	All-in-one subscriptions simplify billing though long-term costs rise.	Layout suggestions, image editing, content prompts integrated with themes.	Limited AI customization, scarce developer workflows, weak versioning.
WordPress	Variable; depends on theme and plugin choices.	High; vast plugin ecosystem and developer control.	Cost-effective for self-hosted scaling; plugins and maintenance add costs.	Wide range of AI plugins for content, SEO, personalization; quality mixed.	Inconsistent AI reliability, fragmented analytics, external version control.
Shopify	Strong merchant-focused onboarding and app ecosystem.	Good for commerce; limited for non-ecommerce backend customization.	Subscription plus transaction fees can increase with growth.	AI for product copy, merchandising, image optimization tuned for sales.	Narrow AI scope, relies on apps for advanced automation, limited versioning.
GoDaddy	Fast guided setup for small businesses and domains.	Low; suited to straightforward presence sites.	Affordable starter plans; many features require add-ons.	Basic AI tools: headlines, content prompts, simple SEO guidance.	Limited AI sophistication, weak developer tools, minimal analytics depth.
Webflow	Designer-centric; steeper learning curve for newcomers.	High for front-end design and production code export.	Value depends on project complexity; premium hosting adds cost.	Emerging AI assistants for copy and layout suggestions; still maturing.	Limited native AI automation, external services needed for serverless logic.

Create websites with MGX AI Website Generator

MGX AI Website Builder