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MCP is Anthropic’s open standard for connecting AI agents to your tools and data. Here is what it actually is, how it differs from a REST API, and a clear rule for when to use each in 2026.
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Your identity stack was architected for humans with browsers and thumbs. Agent traffic breaks consent, delegation, sessions, bot defence and audit at once.
MCP concentrates every AI-agent-to-tool interaction through one interface, and that makes it a new attack surface. A breakdown of the vulnerabilities and how to secure them.
The opinionated guide to running Claude Code well. CLAUDE.md, skills, subagents, hooks, and the workflows that produce quality code for engineers, QA, and
Technical guide to securing multi-agent AI systems with zero trust principles, delegation chain validation, and behavioral boundaries.
From AI agents and MCP to cybersecurity threats - discover the podcasts that industry leaders rely on.
Struggling with MCP authentication? The November 2025 spec just changed everything. CIMD replaces DCR's complexity with a simple URL-based approach, no
One year after launch, MCP has become the universal standard for connecting AI agents to enterprise tools, with 97M+ monthly SDK downloads and backing
Model Context Protocol servers enable AI systems to access real-time data through standardized connections, transforming static models into dynamic
A deep dive into architecture, security, and practical implementation for developers who want to truly understand MCP
Model Context Protocol is doing for AI what USB did for hardware and HTTP did for the web, creating a universal standard that exponentially expands
As AI agents transform enterprise technology, two critical protocols are emerging as industry standards: Anthropic's MCP for connecting AI to data sources
Discover how three emerging AI protocols are reshaping future of technology. This analysis reveals how MCP, RAG, and ACP can be strategically combined to
