Anthropic has released two new infrastructure features for Claude agents: MCP tunnels and self-hosted sandboxes, both designed to enhance security for enterprise deployments. MCP tunnels allow Claude …
At the Google I/O 2026 conference, Google announced Gemini Spark, a persistent cloud-based AI agent that integrates with third-party tools using the open Model Context Protocol (MCP) rather than a pro…
Step-by-step guide for creating a basic MCP (Model Context Protocol) server in under 10 minutes using the `create-mcp-server` command-line tool. It explains how to generate a TypeScript project, repla…
MCP (Model Context Protocol) server integrations are not inherently dangerous, but the primary security risk lies in how vendors build and configure them. It warns that most buyers fail to scrutinize …
The Metabase 61 update introduces granular AI governance controls, allowing administrators to manage AI feature access per user group and set token limits for internal and embedded analytics. New feat…
Snyk's agent-scan tool analyzes MCP servers by actually executing them from the user's configuration files, retrieving tool descriptions via the MCP protocol, and sending that data to a third-party AP…
The Model Context Protocol (MCP) is a standardized communication framework that acts as a universal bridge, enabling AI models to seamlessly connect with external tools, databases, APIs, and software …
Many teams mistakenly focus on choosing the best agent framework when their real operational problems are solved by implementing a simple `job_id` for tracking long-running automations and a "boring c…
Creation of Coda AI, a VS Code extension designed to eliminate the workflow friction of constantly switching between a code editor and a browser to use AI tools. Unlike basic AI assistants, Coda under…
Dominion Observatory, a system that provides behavioral trust scores for over 14,800 MCP servers by analyzing their runtime behavior rather than static source code. Unlike traditional static analysis,…
MCP (Model Context Protocol) is a standardized communication layer that enables AI agents to discover, invoke, and receive results from tools, APIs, and databases. It clarifies that MCP does not make …
Gemini CLI now supports "subagents," which are specialized expert agents that can be delegated complex or repetitive tasks to keep the main session fast and focused. These subagents operate in isolati…
Generic error messages like "tool failed" are insufficient for AI database agents using MCP (Model Context Protocol), as they hinder both automated recovery and human auditing. It emphasizes that data…
According to the article, a practical browser-verification pack on GitHub (doramagic-chrome-devtools-mcp-pack) showed strong metrics, indicating reader interest in verifying its reusability. The artic…
Anthropic has acquired Stainless, the company responsible for generating all official Anthropic SDKs since the platform's inception. This strategic move allows Anthropic to own the full development st…
Three key developments for improving AI and data system reliability: a solution for tracing AI agent calls across tool boundaries to prevent fragmented observability, a guide for unifying Python's log…
The Nuxt MCP Toolkit now supports MCP apps, enabling agent tools to return interactive HTML responses rendered inline by clients like Claude and ChatGPT instead of plain text. Developers can declare t…
Using GitHub Copilot CLI as a triage tool to manage open-source contributions across over 40 repositories. The workflow relies on four key prompts: explaining a repo's architecture, locating specific …
A developer has built a "render-html-mcp" tool, an MCP server that pops up a standalone desktop browser window to display HTML or Markdown content. The Python-based server uses the FastMCP framework a…
First-generation MCP servers, which wrapped REST APIs for tools like Jira and GitHub, caused excessive token usage and context bloat. It introduces the "ultra-mcp-toolkit," which uses strategies like …