A 3D printing company can use AI without becoming a software company by implementing the Model Context Protocol (MCP) to connect an AI assistant to its own production knowledge, calculations, and inte…
JetBrains has released MPS 2026.1, which now uses IntelliJ Platform 2026.1, JDK 25, and Kotlin 2.3, and introduces the bundled Projectional Agent Toolkit plugin that enables AI coding agents to read a…
A developer built a local Apple Notes MCP server to give Claude Desktop real note automation, exposing 13 tools for search, create, update, delete, and move operations via AppleScript. The project, av…
A new study from researchers presenting MCPZoo, the largest collection of 64,611 unique Model Context Protocol (MCP) servers for dynamic analysis, finds that existing security scanners are unreliable:…
A developer built a resilient error recovery pattern for MCP servers after experiencing silent crashes. The pattern wraps tool handlers to catch network errors, invalid arguments, and unexpected excep…
Hack23 AB released the European Parliament MCP Server, a TypeScript Model Context Protocol bridge providing AI agents with structured access to European Parliament open data via 63 tools, 9 resources,…
A developer built a local Model Context Protocol (MCP) server that wraps Spring Boot Actuator endpoints, enabling Claude Code to diagnose and fix JVM bugs in real time. The bridge gives the AI agent r…
A developer identified a 'confused deputy' vulnerability in the Model Context Protocol (MCP), where the protocol fails to provide cryptographically attestable provenance for tool results, enabling ins…
A developer built thingd, an open-source, ultra-fast data engine designed for AI agents, arguing that the rise of autonomous agents requires a new 'agent-native' backend stack that strips away traditi…
A technical deep-dive into the Model Context Protocol (MCP) reveals that tool discovery begins with a JSON-RPC 2.0 handshake negotiating protocol version and capabilities, followed by cursor-based pag…
DoorDash reported that its conversational AI assistant, Ask DoorDash, improved grocery checkout conversion by 24%, increased basket sizes by 17%, and reduced conversational turns by 7% during a seven-…
Loop Engineering introduces a six-layer architecture for building self-improving AI agents that compound knowledge over time, contrasting closed-loop systems with traditional open-loop agents. The app…
Priya Nair published a tutorial on building a TypeScript CLI that connects to any Model Context Protocol (MCP) server, enabling Claude to discover and call tools at runtime without hardcoded function …
A user connected their net worth tracker ValYou to Claude via the Model Context Protocol (MCP), enabling AI-powered financial insights. ValYou aggregates banks, investments, crypto, and property acros…
A developer integrated the Model Context Protocol (MCP) and LangGraph to enable a large language model (LLM) to make tool calls from scratch, giving it the ability to interact with external services w…
A developer published a tutorial demonstrating how to build a production-capable AI agent in 30 minutes using the Claude API with Model Context Protocol. The agent follows a Plan-Act-Observe-Decide lo…
A developer explains how to build real AI applications by connecting large language models to external tools via function calling, memory, and the Model Context Protocol (MCP). The LLM acts as a decis…
Anthropic's Model Context Protocol (MCP) provides a unified, open-source standard for integrating AI models with external data sources, replacing brittle custom API wrappers. A Spring Boot implementat…
Google released the stitch-skills library, introducing the baton pattern to enable coding agents to autonomously build multi-page websites by persisting state across iterations. The library packages f…
An engineer building an automated trading system on Claude Code developed MCP (Model Context Protocol) servers to give Claude direct, safe access to production tools. By creating narrow, sandboxed fun…