Neonmem 0.9.7 introduces a two-level importer that separates folders and files into a searchable knowledge pool and agent chats into typed memories, using IBM Granite-30M embeddings via ONNX Runtime f…
A developer building a native desktop editor for fiction writers embedded a full MCP server inside the application binary to enable AI agents to drive the app programmatically, solving the problem of …
Google's Agent2Agent (A2A) protocol, announced in April 2025, has seen mixed adoption in its first year, with skepticism due to overlap with MCP and premature market timing. However, by 2026, A2A is p…
A developer built an AI chat agent using Model Context Protocol (MCP), Spring AI, and Google Gemini to answer weather questions with real tool integration. The system includes a Spring Boot MCP server…
Microsoft's Visual Studio Code now supports using locally hosted LLMs for chat, tools, and MCP servers via a new 'air-gapped' mode, enabling offline AI workflows without GitHub sign-in. Users can inte…
The Agentic AI Foundation (AAIF), hosted at the Linux Foundation, is advancing open-source infrastructure for agentic AI through four core projects: Model Context Protocol (MCP), Goose, AGENTS.md, and…
The Model Context Protocol (MCP), an open standard for connecting AI agents to tools and data, introduces significant security risks as malicious servers can exploit tool descriptions and outputs to h…
A developer built RunPay, a Stripe-native marketplace that lets AI agents automatically discover and pay for third-party APIs using the Model Context Protocol (MCP) and Stripe's Agent Toolkit. The pla…
A developer connected Claude's Model Context Protocol (MCP) to an enterprise identity database, enabling natural language querying of operational data. The system uses dynamic schema discovery and a s…
Agencies and marketing teams can now build a live data stack using Model Context Protocol (MCP) to connect AI directly to Google Ads and other platforms, eliminating manual CSV exports and stale data …
Micheal Lanham released the second edition of "AI Agents in Action," a practical guide to building agentic systems covering personas, tools, memory, and multi-agent patterns. The 392-page book, publis…
The AI industry is developing two distinct protocols for agent architecture: MCP (Model Context Protocol) for agent-to-tool integration and A2A (Agent2Agent Protocol) for agent-to-agent communication.…
Bifrost has launched Bifrost Edge, a lightweight agent that enforces enterprise governance policies on every employee machine by routing all AI traffic through the Bifrost Gateway. The two-layer syste…
The Model Context Protocol (MCP) solves the N×M integration problem by providing a universal standard for connecting AI applications to tools and data, allowing developers to build tools once as MCP s…
Security researchers at Tenet Security disclosed a new attack class called 'agentjacking' that exploits public Sentry Data Source Names (DSNs) to inject malicious instructions into AI coding agents, a…
Security researchers at Tenet Security disclosed Agentjacking, an exploit chain that weaponizes public Sentry Data Source Names (DSNs) and the Model Context Protocol to trick AI coding agents like Cur…
Block has launched Builderbot, a suite of AI-native tools that orchestrates multiple AI agents across its entire codebase to automate coding tasks. The tool executes over 200,000 operations daily and …
A developer built an MCP server in under 100 lines of Python that connects Claude to GitHub and DEV.to APIs, enabling natural language commands to manage repositories and articles. The server exposes …
A developer built perso, a WebAssembly policy engine that enforces access rules for MCP (Model Context Protocol) tool calls. The engine compiles JSON-based policies into a portable .wasm binary, enabl…
Sean Lynch argues that the Model Context Protocol's key advantage over skills and CLI is isolating authentication outside the agent's context window, potentially reducing MCP to a pure auth gateway fo…