The Zuplo Blog

x402 is an open payment protocol that lets AI agents autonomously pay for APIs and MCP servers with stablecoins. No accounts, subscriptions, or manual approvals required.

Learn what MCP Resources are and how they differ from MCP Tools. Discover how application-controlled context works in the Model Context Protocol and when to use Resources for AI interactions.

How to build reusable prompt templates using Zuplo's MCP Server capabilities. Complete implementation guide with code examples, best practices, and configuration steps for standardizing AI interactions.

Learn how prompt injection attacks threaten MCP servers and AI agents. Discover detection techniques and implement Zuplo's protection policy to secure your AI-powered APIs from malicious prompts.

Learn how to add a Model Context Protocol (MCP) server with OAuth authentication to your existing API in Zuplo, making it accessible to AI agents while maintaining enterprise-grade security.

We recently released the ability to create remote Model Context Protocol (MCP) servers for any API in Zuplo. To coincide with this we release a whole week of videos covering that, and other related topics such as AI agents, LLM API discovery, security policies and best practices.

AI agents are revolutionizing API usage and why smart companies are racing to embrace rather than block this unstoppable wave of traffic. It uncovers the technical challenges and massive opportunities that come with autonomous agent access to help engineering teams get ahead of the curve.

Prompt Injection Detection blocks malicious prompt poisoning attempts, while Secret Masking automatically redacts sensitive information from outbound requests. Essential protection for MCP servers and any API endpoints that interface with LLMs.

AI agents connecting to APIs fail 75% of the time due to poor planning, tool overload, and complex business logic. In this article, Superface CTO Zdenek "Z" Nemec explains how specialist agents and the 10-tool rule can to help fix that.