Model selection, infrastructure sizing, vertical fine-tuning and MCP server integration. All explained without the fluff. Why Run AI on Your Own Infrastructure? Let’s be honest: over the past two ...

Scispot, the AI-native lab operating system for modern life science teams, today announced the availability of the Scispot MCP Server, a Model Context Protocol server that lets AI assistants securely ...

Neo4j Aura Agent is an end-to-end platform for creating agents, connecting them to knowledge graphs, and deploying to ...

The MarketWatch News Department was not involved in the creation of this content.-- Aible launches SafeClaw that enables long-running agents with built-in enterprise AI governance ...

Manufact, a Y Combinator startup, raised $6.3 million to build open-source tools and cloud infrastructure for the Model Context Protocol (MCP), the fast-growing standard backed by Anthropic and OpenAI ...

Air is an environment for managing multiple coding agents side by side, while Junie CLI is a coding agent that supports Anthropic, OpenAI, Google, and other LLMs.

Today is Microsoft's March 2026 Patch Tuesday with security updates for 79 flaws, including 2 publicly disclosed zero-day ...

Microsoft's AI Toolkit extension for VS Code now lets developers scaffold a working MCP server in minutes. Here's what that looks like in practice -- including the parts that don't work, and a simpler ...

Your weekly cybersecurity roundup covering the latest threats, exploits, vulnerabilities, and security news you need to know.

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

Abstract: While powerful and well-established, tools like ParaView present a steep learning curve that can discourage many potential users. This work introduces ParaView-MCP, an autonomous agent that ...