WebMCP is a new standard that extends the Model Context Protocol to the open web, allowing websites to expose callable actions for AI agents via a discovery document at `/.well-known/webmcp`. This ena…
Hariskumar Panakkal of Wipro presented at the MCP Dev Summit in Bengaluru on deploying Model Context Protocol architectures in enterprise banking, highlighting three mandatory constraints: out-of-band…
SaaS products are adopting analytics MCP servers to expose customer data to AI agents via the Model Context Protocol, enabling use cases like in-product copilots, customer-owned agents, automated work…
SaaS product teams evaluating embedded analytics now face a newer option: MCP analytics, which exposes governed data to AI agents rather than rendering dashboards for humans. Embedded analytics delive…
An analytics MCP server is an endpoint that lets AI agents query a product's data through the Model Context Protocol, returning governed, permission-scoped answers instead of raw table access. It diff…
Building an in-house analytics MCP server for customer AI agents may seem cheap initially but incurs hidden costs in multi-tenant isolation, identity propagation, governed metrics, observability, and …
SaaS products are shifting from embedding dashboards for human users to exposing customer-facing MCP servers that AI agents can query directly, driven by customer demand for agent-native data access. …
SnapLogic released MCP Builder, a template-based tool that turns existing integration pipelines into Model Context Protocol (MCP) servers, enabling faster AI operationalization. The tool, announced Ju…
Researchers at Cato AI Labs discovered two critical sandbox escape vulnerabilities in Cursor's AI code editor, tracked as CVE-2026-50548 and CVE-2026-50549, both rated 9.8/10 on CVSS 3.1. The flaws, c…
SnapLogic launched the MCP Builder, a template that automatically generates Model Context Protocol servers from existing integrations and APIs, enabling IT teams to expose deterministic pipelines to A…
A developer built SafeMCP to address security concerns with the Model Context Protocol, which allows AI agents to access filesystems. The tool aims to prevent AI agents from performing unsafe file ope…
Microsoft's incident response team demonstrated a novel attack where an AI agent can be manipulated into exfiltrating sensitive data by poisoning the description of a tool the agent reads before actin…
The Model Context Protocol's 2026-07-28 release candidate eliminates session-based architecture, removing the Mcp-Session-Id, initialize handshake, and sticky routing requirements. The change forces M…
Google's Antigravity 2.0 platform enables developers to build multi-agent systems that orchestrate complex workflows by integrating with Model Context Protocol (MCP) and Google Cloud Data Services. Th…
Apple, Anthropic, and OpenAI are racing to connect AI to real-world context, prioritizing context access over raw model intelligence. Apple's Siri leverages on-device personal data, Anthropic's Model …
The AI Engineer World's Fair 2026 sold out all ticket tiers before opening, drawing over 6,000 attendees to Moscone West in San Francisco. Founded by Shawn 'swyx' Wang, the conference features 29 trac…
Microsoft Incident Response has detailed a new attack pattern targeting AI agents that use Model Context Protocol (MCP) tools, where attackers poison tool metadata to manipulate agent actions. The tec…
Microsoft introduced the Microsoft Binlog MCP Server, giving AI assistants like GitHub Copilot direct access to MSBuild (.binlog) files for natural language build investigation. The server, currently …
Anthropic's Model Context Protocol (MCP) enables universal tool connectivity for AI agents, and Qwen3.6-35B-A3B, a Mixture of Experts model with 262k-token context, is optimized for MCP-based agentic …
Cequence Security released Cequence Platform 9.0, an AI-native update featuring an AI Assistant, an open MCP server for agent integration, a compliance-ready risk rules library mapped to 25 regulatory…