Docker and E2B Are Shaping the Future of Trusted AI AI agents are changing the way developers automate workflows and build applications. Their expanding capabilities, however, have amplified concerns around trust and security . As a longstanding leader... AI security cloud sandboxes developer productivity Docker E2B MCP tool integration trusted AI
Microsoft Explores How Model Context Protocol (MCP) Helps Future-Proofs AI Startups Startups often face a relentless cycle of updating AI code to keep pace with new APIs and shifting workflows. The Model Context Protocol (MCP) is changing this narrative by offering a smarter, more re... AI integrations AI orchestration APIs Azure developer experience future-proofing MCP startup tools
Google Plans to Add MCP Integration to Opal: A Game Changer for No-Code AI Automation The world of AI agent-building is entering a new phase as Google tests MCP (Model Context Protocol) support for its Opal workflow builder. By introducing MCP, Google is taking aim at OpenAI's Agent Bu... AI agents Google integrations MCP no-code tools Opal OpenAI workflow automation
Envoy AI Gateway Ushers in a New Era with MCP Integration AI workloads are evolving fast, and Envoy AI Gateway’s integration of the Model Context Protocol (MCP) is a major leap for organizations leveraging modern, production-scale AI systems. Jointly develop... AI agents Envoy Gateway gateway security Kubernetes MCP OAuth open standards tool routing
Cloudflare's Code Mode Improves AI Agent Tool Integration Cloudflare's innovative Code Mode feature is transforming how AI agents interact with external tools. By leveraging the strengths of large language models (LLMs) in code generation, Code Mode enables ... AI agents API security Cloudflare Cloudflare Workers MCP sandboxing TypeScript
Chrome DevTools MCP For AI-Powered Web Debugging Thanks to the Chrome DevTools Model Context Protocol (MCP) , you can now work alongside an AI assistant that can debug and analyze your website as effectively as a seasoned developer. MCP is fundament... AI coding automation Chrome DevTools developer tools MCP performance analysis web debugging
Building Smarter AI Interactions: How MCP Elicitation Elevates GitHub Copilot AI-powered development tools are moving beyond rigid interfaces, enabling more natural and responsive user experiences. A standout innovation in this space is elicitation within the Model Context Prot... AI tools developer experience elicitation GitHub Copilot MCP tool design user interaction
Docker's Advice to Secure Agentic AI Workflows: The Essential Guide to MCP Security AI agents are revolutionizing workflows by autonomously searching code, managing tickets, interacting with SaaS platforms, and even deploying infrastructure. The Model Context Protocol (MCP) stands at... Agentic workflows AI security Containerization Docker MCP Policy gateway Prompt injection Supply chain
Azure Logic Apps as MCP Servers Supercharge Enterprise AI Integration Integrating AI agents and large language models (LLMs) into enterprise systems can be challenging without the right infrastructure. Azure Logic Apps (Standard) introduces remote Model Context Pr... AI integration Authentication Azure LLM Logic Apps MCP Security Workflow automation
MCP Registry Preview Transforms Server Discovery and Collaboration The launch of the Model Context Protocol (MCP) Registry signals a new era for discoverability and collaboration within the ecosystem. This open, centralized catalog and public API are designed to make... AI applications API community MCP open source server registry sub-registries
Context Engineering: How to Build High‑Signal AI Agents Context Engineering: How to Build High‑Signal AI Agents Context is the new battleground for AI agents. While the focus had been on prompts and models, the real difference between demos and production ... AI agents coding agents compaction context engineering MCP RAG subagents tool design
Three Common Misconceptions About Docker MCP and How to Avoid Them Many developers believe they have a firm grasp on Docker's Model Context Protocol (MCP), but common misunderstandings can undermine AI system reliability and agent design. Let’s break down the most fr... AI agents APIs developer best practices Docker LLM tools MCP observability software architecture