How to find LM Studio plugins and MCP servers
Guide to finding LM Studio plugins and MCP servers using Local AI Tools, a free directory for browsing and installing local AI extensions.
Guide to finding LM Studio plugins and MCP servers using Local AI Tools, a free directory for browsing and installing local AI extensions.
Review of the Pebble Index AI smart ring, highlighting its natural gesture controls, AI integration, and discreet design.
Drasi's MCP Reaction gives Copilot live data feeds by exposing continuous queries as subscribable MCP resources, pushing updates instantly.
Daily roundup of developer news: .NET, AI, cloud, web dev, Windows, and more.
Daily digest of IT/tech links covering .NET, AI, web development, and more for August 24, 2026.
Simon Willison announces LLM 0.32, a command-line tool for accessing large language models, with new features like reasoning traces and OpenAI Responses support.
The API Dispatch #11 discusses the decline of MCP hype, the rise of CLIs, and Google's new WebMCP for browser AI agents.
Simon Willison announces llm-mcp-client 0.1a0, a tool that lets LLMs access tools from MCP servers.
Guide on setting up custom MCP servers in Claude and ChatGPT chat interfaces.
Guide to adding an MCP server to an existing Nuxt app using the Nuxt MCP Toolkit, with a weather tool example.
Pastebot 3, a Mac clipboard manager rewrite, adds automation tools, MCP support, CLI, and new pricing models.
Explains how to combine MCP and A2A protocols in a layered enterprise agent architecture for scalable agent-tool and agent-agent collaboration.
Explains how MCP and A2A protocols fit into an enterprise agent architecture, with MCP for tool access and A2A for agent-to-agent delegation.
Explains why MCP should be a tool plane, not the complete agent controller, in enterprise AI systems.
A curated list of IT/technology links covering AI, .NET, Windows development, web, cloud, and DevOps updates for July 22, 2026.
Analysis of protocol-layer security for AI agents using MCP and A2A, focusing on gateway-level control and enterprise security architecture.
Explores how GSA MCP servers make federal open data AI-ready, bridging the gap between public datasets and agent-friendly interfaces.
Analysis of agentic AI standards in 2026, including MCP, A2A, WebMCP, OSI, and the emerging protocol stack for agents.
Explores an architecture pattern combining Amazon S3 Tables and MCP for governed conversational AI access to Iceberg data.
Analysis of stateless MCP patterns for data platforms, focusing on agentic lakehouse architecture and Dremio integration.