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Azure MCP Server 3.0 rejects unknown parameters and creates Azure resources secure by default

Azure MCP Server 3.0.0 (Oct 12) now fails tool calls that pass dropped options like --subscription or --retry-*, creates Storage accounts with Shared Key off and Event Hubs with local auth off, and speaks the stateless MCP 2026-07-28 protocol. Pin @azure/[email protected] and clean up saved agent prompts before upgrading; the MySQL/PostgreSQL query tools are now marked destructive, so use --read-only if the agent should only look.

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AWS adds a SageMaker AI/ML skill to its Agent Toolkit so coding agents can train and deploy models

The new AWS AI/ML skill is now a core skill in the Agent Toolkit for AWS, letting your coding agent select, train, optimize, and deploy models on SageMaker AI alongside the toolkit's EC2 and Bedrock skills. The toolkit replaces the old AWS Labs skills and plugins as the single supported install path; the skill is free (you pay for resources used) and comes pre installed in SageMaker Studio JupyterLab…

AWS What's New

GitLab Duo Agent Platform adds goal-driven orchestration across review, tests, and approvals

GitLab shipped agent orchestration in Duo Agent Platform: goal driven flows ( /goal in Duo CLI, headless, or Agentic Chat) run end to end through review, tests, security scans, and approvals under your identity and policy; Custom Flows are GA and can start from mentions, assignments, or pipelines. Needs GitLab 19.3+ and Duo CLI 9.17+ on Premium/Ultimate; GitLab for Slack and the MCP server are due GA later this month…

GitLab Blog

Vercel Labs’ fx: Zig coding agent that lists which MCP features it skips

Kin Lane covers Vercel Labs’ experimental Apache 2.0 fx agent (Zig, 6MB, v0.0.13 on github.com/vercel labs/fx ): it documents MCP transports and supported features, then states what it skips—Tasks, Apps, Skills over MCP, Client Credentials, Enterprise Managed Authorization, registry install, and acting as an MCP server. Default mode auto runs routine local work but routes every MCP tool call through a review model first…

API Evangelist

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