Combining MCP, analytics-as-code, and LLMs to automate analytics execution at software speed SAN FRANCISCO, CALIFORNIA ...

Learn how Zero-Knowledge Proofs (ZKP) provide verifiable tool execution for Model Context Protocol (MCP) in a post-quantum world. Secure your AI infrastructure today.

What if your design-to-code process could be faster, smarter, and almost entirely automated? In this breakdown, Universe of AI walks through how Google Stitch’s latest updates, featuring the MCP ...

Learn how to secure Model Context Protocol (MCP) deployments with post-quantum cryptography and agile policy enforcement for LLM tools.

In using AI to improve efficiency, developers are granting extensive permissions to download content from the web, and read, write, and delete files on their machines without requiring developer ...

The ability to connect to both cloud and on-premises versions of Azure DevOps is a significant advantage. It means the server can be a consistent part of your AI-DevOps workflow, regardless of where ...

Embed AI agents into your apps with GitHub's new SDK, simplifying integration across Node.js, Python, Go, and .

New Infrastructure Enables AI-Assisted Workflows for Clinicians Directly Within the EHR ...

The Pagos MCP Server leverages Pagos' core competencies in data consolidation, harmonization, and enrichment. Connect your payment processors to Pagos via our no-code integrations or Data Ingestion ...

Instead of each AI integration being custom-coded for every app, MCP provides a shared standard, so MCP-compliant systems can ...