Mcp

OpenClaw exploded onto the scene in November 2025 and became, by any measure, the fastest-growing open-source project in history. Within months, tens of millions of people were using it to automate their lives — running shell commands, managing files, connecting to messaging platforms, building new agent skills overnight. NVIDIA CEO Jensen Huang called it “the operating system for personal AI.” But explosive growth brings explosive risk. And on March 23, 2026, at RSA Conference in San Francisco, Cisco decided to do something about it. ...

OpenClaw went viral for a reason — it’s the closest thing to a real personal AI operating system most developers have ever touched. But as Cisco’s own engineers put it at RSA Conference 2026 this week: the fastest-growing open source project in history is also a massive target. Their answer is DefenseClaw, an open-source security framework built specifically for OpenClaw deployments. What DefenseClaw Actually Does Cisco unveiled DefenseClaw on Monday at RSAC 2026, the San Francisco security conference that this year has turned almost entirely toward AI agent security. The framework ships with six distinct components designed to close the security gap that’s opened up as OpenClaw adoption has exploded: ...

WordPress.com just crossed a significant line in the AI agent story: your AI agent can now not just read your site — it can run it. Automattic announced today that WordPress.com’s MCP (Model Context Protocol) integration now includes write capabilities, giving AI agents like Claude Desktop, ChatGPT, Cursor, and OpenClaw the ability to create posts, build pages, and manage site content through natural conversation. No new software to install — just enable the new tools in your MCP dashboard. ...

If your team is running AI agents in production — or planning to — the security conversation can no longer be deferred. The OWASP Agentic AI Top 10 and Bright Security’s companion MCP AppSec playbook, both published this week, give security and engineering teams the most complete picture yet of what can go wrong when you hand autonomous agents real credentials and real access. This isn’t theoretical. These are attack patterns being actively exploited in early production deployments right now. ...

Something significant shifted in how developers interact with AI agents today. Anthropic has shipped Claude Code Channels — a research preview feature that lets you message your Claude Code session directly from Telegram, Discord, iMessage, or any custom webhook, while your agent continues running in the background on your machine or the web. This isn’t a cosmetic update. It’s a structural change in the developer-agent relationship: from synchronous “sit at your keyboard and wait” to asynchronous, persistent, mobile-first collaboration with an autonomous coding partner. ...

Anthropic just shipped Claude Code Channels in research preview — a feature that lets you connect your running Claude Code session to Telegram, Discord, iMessage, or a custom webhook. Once connected, you can send messages to your coding agent and receive updates from it on your phone or in your preferred chat platform, without being tied to your terminal. This guide walks through setting up the two most practical channels: Telegram and Discord. ...

Every enterprise deploying AI agents faces the same uncomfortable truth: their agents are only as trustworthy as the tools those agents use. And right now, most organizations have no systematic way to govern which MCP servers their agents can access, no visibility into what those servers are doing, and no automated mechanism to block unsafe tools before they cause damage. JFrog just shipped the answer. On March 18, 2026, JFrog announced general availability of its Universal MCP Registry — the first enterprise-scale registry for storing, governing, and monitoring MCP servers across AI agent toolchains. The announcement was co-made with NVIDIA, positioning the registry as a foundational trust layer for AI-driven software development at enterprise scale. ...

The Model Context Protocol has had a remarkable adoption curve — from Anthropic specification to industry standard in under 18 months. But widespread MCP adoption has exposed a control gap that the ecosystem is now racing to address: how do you govern what AI agents can actually do once they have tool access? Enter the MCP Security Gateway — a new product category that’s emerging from multiple vendors simultaneously, with Gartner’s endorsement giving it enterprise credibility on day one. ...

The Model Context Protocol (MCP) was supposed to be the universal connector for agentic AI — a standard way for agents to call tools without custom glue code. But at Ask 2026, Perplexity CTO Denis Yarats dropped a significant signal: Perplexity is moving away from MCP internally, and the reason has major implications for anyone building production agentic systems. The Problem: 55,000 Tokens Before Your Agent Does Anything Yarats was direct about the technical issue. MCP tool definitions — the schema declarations that tell an agent what tools are available and how to call them — were consuming 55,000+ tokens before a single user message was processed. ...

When Chrome ships a feature, it ships to roughly 3.4 billion browsers simultaneously. That’s what makes Chrome 146’s native Model Context Protocol (MCP) support such a significant — and potentially consequential — development for the agentic AI ecosystem. What WebMCP Actually Is MCP, for those who need the refresher: it’s Anthropic’s open protocol for connecting AI models to external tools and data sources in a standardized way. The “Web” prefix in WebMCP specifically means browser sessions — live, authenticated, cookie-bearing browser sessions. ...