AI-driven DEX management democratizes trading infrastructure, potentially increasing risk exposure due to inexperienced operators launching exchanges.
The post Orderly Network deploys MCP for AI-driven perp DEX management appeared first on Crypto Briefing.
You shouldn’t have to leave Cursor to build, deploy, or monitor a production-grade agent. You can wire together LangChain, a vector DB, a monitoring tool, and a deployment pipeline yourself, but you’ll spend more time on that plumbing than on the agent itself. DataRobot is the shortcut. It now lives where you build, integrating directly...
The post DataRobot for Developers: Skills, MCP, and the agentic developer surface appeared first on DataRobot.
Quantitative models in drug discovery, materials discovery, science and other sectors will now have much wider distribution via Claude PALO ALTO, Calif., May 18, 2026 — SandboxAQ today announced the […]
The post SandboxAQ Integrates Its Quantitative AI Models with Anthropic’s Claude via MCP appeared first on AIwire.
The post Gemini’s agentic trading lets AI models, not humans, drive CEX order flow appeared on BitcoinEthereumNews.com.
Gemini’s “agentic trading” lets AI models like ChatGPT and Claude plug into user accounts via MCP, executing crypto trades autonomously and turning AI from signal vendor into primary CEX client. Summary Gemini has wired its full trading API into Anthropic’s Model Context Protocol, so compatible AI agents can pull market data, query order books, place orders and manage positions directly from user‑linked accounts. Users set budgets, strategies and caps, while modular “Trading Skills” give agents DCA, grid, multi‑leg and risk tools, making a growing slice of Gemini’s resting and market orders originate from opaque, black‑box models. Unlike TON’s non‑custodial “Agentic Wallets,” which push autonomy to Telegram edge wallets, Gemini centralizes agentic activity inside a regulated CEX perimeter, recasting AI as a client type that humans merely configure. Gemini has rolled o
Gemini’s “agentic trading” lets AI models like ChatGPT and Claude plug into user accounts via MCP, executing crypto trades autonomously and turning AI from signal vendor into primary CEX client. Gemini has rolled out “agentic trading,” a feature that lets…
Deprecating low-activity chains could streamline liquidity management, but voter apathy may inadvertently shape the network's future landscape.
The post Orderly Network proposes deprecating six low-activity chains, voting open now appeared first on Crypto Briefing.
There’s a lot of noise right now making it seem like you have to pick a side between MCP and Agent Skills. It’s being framed like a high-stakes rivalry, but that’s a total misunderstanding of the tech. Skills and MCP is fundamentally different things. Skills are just a prompt loaded on demand, while MCP is […]
The post MCP vs Agent Skills: Different Altogether appeared first on Analytics Vidhya.
Visual Studio Code 1.115, the latest release of the Microsoft’s extensible code editor, previews a companion app called Visual Studio Code Agents, optimized for agent-native development. Additionally, the agent experience in the editor is improved for running terminal commands in the background, according to Microsoft.
Introduced April 8, Visual Studio Code 1.115 can be downloaded from the Visual Studio Code website for Windows, Mac, or Linux.
Available as a Visual Code Insiders early access capability, the VS Code Agents app allows developers to run agentic tasks across projects, by kicking off multiple agent sessions across multiple repos in parallel. Developers can track session progress, view diffs inline, leave feedback for agents, and create pull requests without leaving the app, Microsoft said. Additionally, custom instructions, prompt files, custom agents, Model Context Protocol (MCP) servers, hooks, and plugins all work in the Agents app, along with VS Code customizations suc
