Today, AWS announces the open-source AWS Serverless Model Context Protocol (MCP) Server, a tool that combines the power of AI assistance with serverless expertise to enhance how developers build modern applications. The Serverless MCP Server provides contextual guidance specific to serverless development, helping developers make informed decisions about architecture, implementation, and deployment. This post describes how the Serverless MCP Server works with AI coding assistants to streamline...| Amazon Web Services
We showcase a critical vulnerability with the official GitHub MCP server, allowing attackers to access private repository data. The vulnerability is among the first discovered by Invariant's security analyzer for detecting toxic agent flows.| invariantlabs.ai
We’re teaming up with Anthropic, Asana, Atlassian, Block, Intercom, Linear, PayPal, Sentry, Stripe, and Webflow to launch new remote MCP servers, built on Cloudflare, to enable Claude users to manage projects, generate invoices, and even deploy applications — without ever leaving the chat interface.| The Cloudflare Blog
This post is about a vulnerability in the Model Context Protocol (MCP) called “Line Jumping,” where malicious servers can inject prompts through tool descriptions to manipulate AI model behavior without being explicitly invoked, effectively bypassing security measures designed to protect users.| The Trail of Bits Blog
Get started with the Model Context Protocol (MCP)| Model Context Protocol
The Model Context Protocol (MCP) is an open standard for connecting AI assistants to the systems where data lives, including content repositories, business tools, and development environments. Its aim is to help frontier models produce better, more relevant responses.| www.anthropic.com