Introducing Arcade Deploy: Instant Hosting for your Custom AI Tools

Introducing Arcade Deploy: Instant Hosting for your Custom AI Tools

Jamie-Lee Salazar's avatar
Jamie-Lee Salazar
MARCH 25, 2025
2 MIN READ
COMPANY NEWS
Rays decoration image
Ghost Icon

Today we're launching Arcade Deploy, solving a critical challenge in AI development: how to quickly build, deploy, and iterate on custom tools that expand what your AI can do.

With Arcade Deploy, you use our SDK to create specialized tools, then deploy them instantly to our cloud with a single command: arcade deploy. Your tools become immediately available to your AI models in your agent or application—no servers to manage, no complex infrastructure to configure, no deployment pipelines to build.

Real-world implementation, not just demos

We’ve built a quick demo showing how to build a couple of custom tools on top of the Star Wars API that can look up details on Star Wars characters by planet or by name. If you’re working for Disney, that might be really helpful, but for most of our customers, what they really want to do is to connect to their own business systems.

Imagine creating tools that:

  • Connect to custom Salesforce objects to retrieve specific customer details during support calls
  • Access PostgreSQL databases to generate real-time inventory forecasts
  • Execute authenticated API calls to update records in internal systems
  • Extract structured data from unstructured documents in your knowledge base

Arcade Deploy hosts these integrations in a single command—your tools are instantly available in production without managing servers, containers, API gateways, or load balancers.

Practical advantages for AI tool developers

Rapid iteration

  • Deploy changes in seconds instead of hours
  • Test without managing infrastructure
  • Share instantly with teammates

Simplified testing

  • Automatic tool registration in the AI engine
  • Generated documentation in your dashboard
  • Managed message handling between tools and LLMs

Enterprise-grade infrastructure

  • Automatic scaling as usage increases
  • Load balancing across instances
  • Reliable uptime and monitoring

Getting started

Ready to transform how you build AI tools? Install the Arcade CLI, create your toolkit using our SDK, configure your workers, and run arcade deploy. That's it.

For full documentation and examples, visit our Arcade Deploy documentation.

Skip the DevOps, build tools that matter

Arcade Deploy lets you build what matters—the actual functionality your AI needs—without wasting time on deployment infrastructure. You'll spend more time coding useful features and less time fighting with cloud configuration.

Visit arcade.dev to sign up and try Arcade Deploy today.

SHARE THIS POST

RECENT ARTICLES

Rays decoration image
TUTORIALS

How to choose the best Agentic Framework, Part 1: Human in the Loop

As I build agents every day, I get to see Agentic Frameworks evolve different approaches to solve the same core issues of agentic orchestration. Fundamentally, the differences come down to how the framework designers think about the common building blocks of an agentic system. Unfortunately, they all come with disparate terminology and adopt jargon that makes this seem more complicated than it really is. I feel this is creating a bit of a decision block, especially in beginners. This series of b

TUTORIALS

Simplifying Google Calendar + Telegram Integration: A Developer's Guide

As the world becomes more and more agentic, it’s important to meet your users where they are, and this usually means providing them with polished UX in whatever communication platforms they use on a daily basis: * WhatsApp * Email * Telegram * Discord * Slack Adding a chatbot experience to chat-like interfaces is usually pretty easy. I just pick one of the existing LLM clients, add my API Key, a nice system prompt, and let users chat away. However, things quickly become complex if the age

PRODUCT RELEASE

LangChain Announces Open Agent Platform Powered by Arcade.dev

At the Interrupt Conference, LangChain unveiled a new agent platform that allows developers to build and share AI agents. The platform leverages Arcade.dev's support for Model Context Protocol (MCP) to enable agents to perform actions on behalf of users across hundreds of services. Why This Matters: * Complete Agent Ecosystem: Developers can now build, share, and deploy AI agents through an intuitive platform with flexible hosting options * Powerful Action Capabilities: Thanks to Arcade.dev

Blog CTA Icon

Get early access to Arcade, and start building now.