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
THOUGHT LEADERSHIP

Enterprise MCP Guide For Retail Banking & Payments: Use Cases, Best Practices, and Trends

The global payments industry processes $2.0 quadrillion in value flows annually, generating $2.5 trillion in revenue. Yet despite decades of digital transformation investment, critical banking operations,anti-money laundering investigation, KYC onboarding, payment reconciliation,remain largely manual. Model Context Protocol (MCP) represents the infrastructure breakthrough that enables financial institutions to move beyond chatbot pilots to production-grade AI agents that take multi-user authoriz

Rays decoration image
THOUGHT LEADERSHIP

Enterprise MCP Guide For Capital Markets & Trading: Use Cases, Best Practices, and Trends

Capital markets technology leaders face a critical infrastructure challenge: scattered AI pilots, disconnected integrations, and fragmented, domain-specific systems that turn engineers into human APIs manually stitching together trading platforms, market data feeds, and risk management tools. The Model Context Protocol (MCP) represents a fundamental shift from this costly one-off integration approach to a universal standardization layer that acts as the backbone for AI-native financial enterpris

Rays decoration image
THOUGHT LEADERSHIP

Enterprise MCP Guide For InsurTech: Use Cases, Best Practices, and Trends

The insurance industry faces a pivotal transformation moment. Model Context Protocol (MCP) has moved from experimental technology to production infrastructure, with 16,000+ active servers deployed across enterprises and millions of weekly SDK downloads. For InsurTech leaders, the question is no longer whether to adopt MCP, but how to implement it securely and effectively. Arcade's platform provides the MCP runtime for secure, multi-user authorization so AI agents can act on behalf of users acros

Blog CTA Icon

Get early access to Arcade, and start building now.