WeCom Adds CLI and MCP Support for AI Agents
WeCom's 5.0.10 update opens CLI and MCP access for AI agents to call office tools directly, with strict permission and audit controls.
21 verified stories covering MCP, product updates and industry developments.
WeCom's 5.0.10 update opens CLI and MCP access for AI agents to call office tools directly, with strict permission and audit controls.
Agent Plugins 1.0.0 gives AI agent extensions a shared package format for Skills, MCP servers, and client-specific additions.
Agentic Resource Discovery uses ai-catalog.json files and registries so agents can find, compare and verify capabilities beyond tools they already know.
Tenet's Agentjacking research shows how trusted telemetry can become executable instructions for coding assistants.
Work IQ APIs are generally available, giving agents metered access to Microsoft 365 context through MCP, A2A and REST.
Arcade's Series A backs an action layer that gives enterprise AI agents user-scoped permissions, reliable MCP tools and auditable execution.
At WWDC, Apple moved from recognition-era Core ML to an LLM-native Core AI layer that uses Anthropic’s Model Context Protocol across system and developer tools.
Microsoft open-sourced Agent Control Specification while Noma launched runtime access control for AI agents and MCP servers.
Anthropic announced public beta of self-hosted sandboxes and research preview of MCP tunnels for Claude Managed Agents, addressing enterprise data compliance.
Blend Autopilot MCP exposes U.S. mortgage-origination systems to AI agents, showing how MCP is moving from tool protocol to industry infrastructure.
Google Cloud and ServiceNow announced a partnership at Google Cloud Next, combining MCP, A2A, and A2UI protocols to enable autonomous 5G network repair and enterprise AI collaboration.
Salesforce launched Headless 360 at TDX 2026, converting its entire platform into APIs, MCP tools, and CLI commands for AI agents to call directly without a browser. The core includes 60+ MCP tools and 30+ pre-configured coding skills, with Claude Sonnet 4.5 as the default LLM for the new Agentforce Vibes IDE.
A supply chain security report reveals 11 CVEs tied to a design-level flaw in Anthropic's MCP STDIO transport, affecting over 150 million downloads and 200,000 servers. Anthropic declined to fix it, calling the behavior "expected."
Google has launched official managed MCP servers for BigQuery, Google Maps, Compute Engine, and GKE, with automatic enablement from March 17, 2026. The move brings enterprise-grade security, IAM integration, and audit logging to AI agent tool calling.
Anthropic announced a suite of enterprise features for Claude Cowork at the HumanX conference, including a private plugin marketplace, over 20 new MCP connectors, and industry-specific templates targeting knowledge workers beyond developers.
Atlassian has integrated Lovable, Replit, and Gamma as third-party AI agents in Confluence, allowing users to turn documents into UI prototypes, code projects, or presentations without leaving the platform.
MCP and A2A are often confused as competing protocols, but they solve fundamentally different problems in the AI stack. MCP connects AI models to external tools, while A2A enables collaboration between different AI agents.
The first major MCP developer summit in New York saw 1,200 attendees and over 95 sessions, with real-world deployments from Uber and Amazon signaling the protocol's shift from a developer toy to enterprise infrastructure.
Over 10,000 public MCP servers are now online, but security researchers have uncovered widespread vulnerabilities including tool poisoning, resource amplification, and remote code execution affecting major AI clients.
Pinterest's engineering team details its production MCP architecture with multiple dedicated servers, a central registry, two-layer authentication, and an elicitation design for high-risk operations, estimating 7,000 engineer-hours saved monthly.
Anthropic's MCP protocol, initially met with skepticism, has become the de facto standard for AI tool integration after OpenAI, Google, and Microsoft all adopted it within a year.