Best AI Development Platforms for GraphQL

Compare the Top AI Development Platforms that integrate with GraphQL as of July 2026

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This a list of AI Development platforms that integrate with GraphQL. Use the filters on the left to add additional filters for products that have integrations with GraphQL. View the products that work with GraphQL in the table below.

What are AI Development Platforms for GraphQL?

AI development platforms are tools that enable developers to build, manage, and deploy AI applications. These platforms provide the necessary infrastructure for the development of AI models, such as access to data sets and computing resources. They can also help facilitate the integration of data sources or be used to create workflows for managing machine learning algorithms. Finally, these platforms provide an environment for deploying models into production systems so they can be used by end users. Compare and read user reviews of the best AI Development platforms for GraphQL currently available using the table below. This list is updated regularly.

1

Retool

Retool

Retool is the AI-native enterprise app development platform where teams build and ship production-ready apps — at AI speed, with enterprise governance built in. Describe what you need and get a working app, import React-based apps from Lovable, Replit, or Claude Code, or connect your AI agent via MCP. However your team builds, every app lands in Retool with RBAC, SSO, audit logging, and your existing permissions already in place. Retool connects to databases, APIs, LLMs, and external tools out of the box. Teams can build AI agents, dashboards, workflows, and full-stack apps — with a visual editor for speed and direct code access for precision. Trusted by over 10,000 organizations including Amazon, Stripe, DoorDash, and OpenAI to get AI-built apps safely to production.

584 Ratings

Starting Price: $10 per user per month

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2

Lamatic.ai

Lamatic.ai

A managed PaaS with a low-code visual builder, VectorDB, and integrations to apps and models for building, testing, and deploying high-performance AI apps on edge. Eliminate costly, error-prone work. Drag and drop models, apps, data, and agents to find what works best. Deploy in under 60 seconds and cut latency in half. Observe, test, and iterate seamlessly. Visibility and tools ensure accuracy and reliability. Make data-driven decisions with request, LLM, and usage reports. See real-time traces by node. Experiments make it easy to optimize everything always embeddings, prompts, models, and more. Everything you need to launch & iterate at scale. Community of bright-minded builders sharing insights, experience & feedback. Distilling the best tips, tricks & techniques for AI application development. An elegant platform to build agentic systems like a team of 100. An intuitive and simple frontend to collaborate and manage AI applications seamlessly.

Starting Price: $100 per month

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3

Arch

Arch

Stop wasting time managing your own integrations or fighting the limitations of black-box "solutions". Instantly use data from any source in your app, in the format that works best for you. 500+ API & DB sources, connector SDK, OAuth flows, flexible data models, instant vector embeddings, managed transactional & analytical storage, and instant SQL, REST & GraphQL APIs. Arch lets you build AI-powered features on top of your customer’s data without having to worry about building and maintaining bespoke data infrastructure just to reliably access that data.

Starting Price: $0.75 per compute hour

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4

Metabind

Metabind

Metabind is the native MCP App Platform that lets teams ship an MCP app in minutes by writing BindJS components once and rendering them as native SwiftUI, Jetpack Compose, and React on Claude, ChatGPT, and every MCP host. It gives AI agents a native app surface instead of plain text responses, combining interactive tools, data tools, component packages, schema validation, sandboxed execution, package resolution, and production-ready rendering in one platform. Developers define components once, while content and product teams can manage both content and UI from a single platform, publish changes instantly, and avoid app store deploys for layout or screen updates. Metabind’s native mobile CMS approach extends beyond traditional headless CMS by controlling not only text and images, but also layout definitions, screen composition, and server-driven UI that renders with genuine platform views.

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