
MCP Weekly: Microsoft Picks Claude, OpenAI Productizes Security, Meta Bets on Agent Networks
This issue of MCP Weekly covers March 6th to March 13 and showcases enterprise platform launches, major security investments, infrastructure upgrades, and new agent tooling across the ecosystem.
TL;DR
Microsoft launched Wave 3 of Microsoft 365 Copilot, embedding Claude into Office apps and introducing a new M365 E7 tier enterprise suite. Meta acquired Moltbook, an agent-to-agent communication platform, folding it into Superintelligence Labs. OpenAI launched Codex Security and acquired Promptfoo to make agentic security a core product requirement inside Frontier. NVIDIA released Nemotron 3 Super, an open 120B parameter model built for multi-agent cost efficiency.
On the Anthropic side, Claude Code Review launched in research preview, Claude now builds inline visuals, and Excel and PowerPoint integrations were significantly upgraded. Anthropic also launched a $100M Claude Partner Network and a new research body, The Anthropic Institute. Infrastructure updates came from AWS Bedrock AgentCore with stateful MCP support and Datadog's MCP Server reaching general availability. Legora raised $550M for legal AI, JetBrains launched Air, and Zoom unveiled its Agentic AI 3.0 platform.
Major Updates of the Week
Microsoft: Copilot Cowork, Wave 3, Agent 365, and the M365 E7 Tier
Microsoft launched Wave 3 of Microsoft 365 Copilot, moving it from a single-shot assistant into embedded agents inside Word, Excel, and PowerPoint. The centerpiece is Copilot Cowork, powered by Anthropic's Claude, handling long-running tasks across multiple apps in one session. Microsoft also introduced Agent 365, a control panel for IT teams to monitor and govern every AI agent inside their organization. Everything is packaged into Microsoft 365 E7, launching May 1, 2026. Microsoft now selects between Claude and its own models automatically based on which performs better for the task. This effectively abstracts the model layer away from the end user.
Meta Acquires Moltbook
Meta acquired Moltbook, an AI agent communication platform using the OpenClaw wrapper across Slack and iMessage. The founders joined Meta's Superintelligence Labs. Meta values Moltbook's agent directory model for persistent identity and structured agent-to-agent communication. However, pre-acquisition security flaws, including exposed credentials allowing agent impersonation, highlight new enterprise security risks from agent-to-agent networks that standard tools can't handle.
Anthropic Updates
OpenAI: Security Becomes a Product
OpenAI is repositioning security from a developer concern to a first-class product surface inside agent workflows. Codex Security launched as an agentic application security tool that builds project-specific threat models, tests findings in sandboxed environments, and filters low-impact noise. During private beta it cut false positives by over 50% and found critical vulnerabilities in Chromium, PHP, and OpenSSH.
OpenAI also acquired Promptfoo, an AI red-teaming platform used by over 25% of Fortune 500 companies, integrating it directly into Frontier. The open-source version continues to be maintained.
Infrastructure: MCP Becomes Stateful and Observable
AWS Bedrock AgentCore Runtime: Stateful MCP Support
Amazon Bedrock updated its AgentCore Runtime to support stateful MCP server features including elicitation, client-side sampling, and real-time progress notifications. Each session runs in its own isolated microVM across 14 AWS regions. Agents can now ask for missing information mid-task rather than failing silently.
Datadog MCP Server: Observability Meets Agents
Datadog launched general availability of its MCP Server, feeding live metrics, logs, and traces directly into agents including Claude Code, Cursor, and GitHub Copilot. An agent fixing a bug can now check whether the fix improved production performance without leaving the IDE. All access stays within the organization's existing security controls.
Other Updates
My Thoughts: Execution is now the control layer
Microsoft dynamically routing between Claude and its own models inside Office signals a structural shift in where value sits. When model selection becomes automatic and performance-driven, the system making those decisions becomes the strategic layer.
That shift pushes enterprises toward model-agnostic architectures. Flexibility in model choice turns into a baseline expectation, and the focus moves to how agents are orchestrated, monitored, and governed across workflows.
At the same time, OpenAI’s investment in Codex Security and Safe URL reflects a deeper change in how agents are treated. These systems are increasingly acting on real infrastructure, which raises the stakes from generating responses to executing actions. Security, in that context, becomes tightly coupled with runtime behavior, not just input validation.
Meta’s acquisition of Moltbook extends this trajectory into agent-to-agent communication. Persistent identity and structured interaction between agents introduce new coordination capabilities, along with new operational and security considerations. The earlier credential exposure issues highlight how quickly risk surfaces expand in these environments.
Across all of this, a consistent pattern is emerging. As agents become more capable and embedded into enterprise systems, reliability, observability, and governance define whether they deliver value at scale. The teams that build strong control over execution will be the ones that move fastest with confidence.
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