How to Deploy AI Agents Safely in Production Systems
Shipping a working AI agent demo is one thing—but scaling it reliably for thousands of users demands engineering rigor beyond clever prompts and models.
#mcp protocol
How MCP is reshaping AI integrations for developers
MCP introduces a universal protocol that lets AI models securely connect with databases, APIs, and business systems without custom code for each tool. Discover how this standard is unlocking new AI use cases and simplifying integrations.
MCP vs ACP: The Protocols Powering AI in Smart Factories by 2026
Industrial AI’s future hinges on two emerging protocols—MCP and ACP—that promise to replace thousands of custom integrations with standardized connectivity. Discover how these protocols are reshaping smart manufacturing and what they mean for AI-driven automation.
How a niche SaaS became MCP-ready in a single day with ChatGPT
A Japanese B2B SaaS provider integrated its dispatch tools with ChatGPT’s MCP protocol in just one day—a journey that revealed unexpected OAuth pitfalls and resolved them before a live demo.
AI agents: MCP vs A2A — when to use each protocol
Most developers conflate MCP and A2A as interchangeable ways to connect AI agents to tools. Clarifying their distinct roles can save months of misaligned architecture and integration headaches.
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