Amazon Web Services announced the general availability of Web Search on Amazon Bedrock AgentCore, a fully managed tool that enables AI agents to ground responses in current, cited web knowledge withou…
Security leaders are racing to govern AI agents before production deployment, but most lack a clear stack. A new framework identifies four essential primitives: an identity-aware proxy for real-time a…
A developer discovered a supply chain attack vector in the Model Context Protocol (MCP) that allows malicious actors to inject harmful code into AI models through compromised model dependencies. The v…
Researchers introduced PrologMCP, an open-source server that exposes Prolog as a stateful tool through the Model Context Protocol, enabling LLM agents to delegate deductive reasoning tasks to a symbol…
Google Cloud introduces a new architecture for deploying agents using the Agent Development Kit (ADK), Model Context Protocol (MCP), and Cloud Run, enabling secure and observable interactions with Clo…
The Model Context Protocol (MCP) is becoming the standard API for LLMs, but security vulnerabilities like path traversal and broken tenant isolation are emerging. To prevent damage from autonomous age…
The Model Context Protocol (MCP) standardizes how AI systems connect to tools and data, solving the M×N integration nightmare where multiple AI apps require custom integrations for each data source. M…
A developer released Mcpwn, an open-source CLI tool for red-teaming Model Context Protocol (MCP) servers, after finding no existing pentesting tools for the protocol. The tool supports multiple transp…
Equixly launched an MCP integration that brings continuous, AI-driven penetration testing directly into AI coding assistants like GitHub Copilot and Claude. The integration allows developers to run se…
First Break AI built a fully agentic AI course site using Quarto for static content and an MCP server for AI agent interactions. The site serves pre-rendered HTML via Cloudflare Pages while agents han…
Developer lucasepe built kctx, a read-only Kubernetes context engine designed to provide structured operational facts for humans, scripts, and AI agents. The tool compiles live cluster state into comp…
BridgeX API argues that AI agents require native messaging infrastructure rather than traditional SMS APIs, proposing the Model Context Protocol (MCP) to make messaging AI-native.…
Anthropic's Model Context Protocol (MCP) standardizes how LLM-powered applications connect to data sources, replacing custom integrations with a single interface. The protocol uses JSON-RPC 2.0 and su…
Open WebUI now supports the Model Context Protocol (MCP), enabling local AI assistants to use external tools like web search, file access, and code execution. Developers can set up a Docker-based envi…
A developer built Smriti, a 4-agent elderly care system using QwenVL, MemoAssistant, and persevere thinking to address dementia patient needs. The system includes a Vision Agent for recognition and ha…
OrchestKit's documentation site implements a stack of standard files—llms.txt, OpenAPI specs, MCP endpoints, and .well-known identity files—to make its docs machine-readable for AI agents. The project…
A developer built the EZLogs MCP server to give AI assistants like Claude and Cursor deterministic access to Rails app activity logs. The server exposes read-only tools that return structured, human-r…
AI tools like ChatGPT, Claude, and Cursor are enabling a new wave of mashups—applications that combine multiple data sources—by lowering the barrier to entry and increasing the scale of what's possibl…
Weave, a new Git merge driver from Ataraxy Labs, resolves merge conflicts by parsing code structure with tree-sitter and merging at the function or class level instead of by lines. It supports 31 merg…
Anthropic's Claude Code and HeyGen's MCP server enable an automated AI video production workflow, allowing users to generate polished videos from a topic input without manual intervention. The system …