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Glasp MCP Connector lets users search their highlights and notes directly inside Claude and ChatGPT.
Armature is a new product analytics tool for AI agent sessions, capturing user intent, agent thinking, and success scores via an SDK for MCP servers, with automatic PII redaction.
WebMCP is a protocol implemented by MCP-B that lets websites act as MCP servers, exposing browser JavaScript functionality to LLMs as tools via tab or extension transports. The codebase is maintained for historical reference only.
Free live webinar on building better AI agents in Java, led by James Ward of AWS, covering tools, MCP, and agent design patterns.
Twin is an open-source research project that aims to give AI systems continuous, cumulative understanding by correlating events and building reusable situation models, rather than reconstructing context from scratch each conversation. A demonstration shows Claude Sonnet 4.6 using Twin's MCP server to answer questions about a project without any custom memory or local files.
Google is testing unreleased changes to close feature gaps between the Gemini desktop app and its web version, including dedicated tabs for image/video generation, camera capture, and custom MCP server support for Spark.
Mu gives AI agents 67 everyday internet tools (news, mail, search, markets, etc.) behind a single MCP endpoint, with real implementations rather than API wrappers, and is available as a hosted service or self-hosted Go binary.
Uber open-sourced ADR, an enterprise security framework for monitoring, evaluating, and detecting risks in AI agents, including a 300+ task benchmark and support for 133 MCP servers.
Google released a free 2h17m course covering the progression from agents to tools, loops, graphs, and autonomous systems, taught by a Developer Relations Engineer at Google Cloud.
Google and Anthropic both treat retrieval as a standalone service invoked by agents, moving away from naive one-time RAG pipelines. The post explains how a continuous ingestion layer and structured retrieval units fix stale embeddings and coupled infrastructure, reportedly reducing corpus size 40x and improving vector relevance 2.3x.
Simon Willison's sponsors-only July 2026 newsletter covering recent AI model releases like GPT-5.6, Claude Opus 5, and DeepSeek-V4-Flash, plus accidental cyberattacks, MCP developments, and his current projects.
Simon Willison discusses the stateless MCP (MCP 2.0) specification, which simplifies protocol implementations, and introduces his new tools mcp-explorer and datasette-mcp built to leverage it.
SafeAI is an Apache-2.0 static analyzer for AI-agent applications that scans source and configuration for capabilities, risks, tools, MCP integrations, secrets, and governance signals, producing a versioned KYA manifest and CI gating. The author is seeking contributors and reviewers.
The builder of LOLM announces a hybrid Transformer-SSM language model and agent system from Qira, featuring a controller for live decisions, run receipts, a CLI, coding sandbox, MCP support, and lower-cost hosted access.
UML (Universal Memory Layer) is an open-source shared memory graph for Claude, ChatGPT, and other AI agents, letting users save and recall structured memory across tools via MCP with a visual dashboard and API.
Android Remote Control MCP v1.10.0 is released, enabling AI agents to control Android apps without cables or root, with signed APKs, better handling of 'sensitive' screens, a GMS-free build, and security fixes.
A developer built agent-undo, a TypeScript library that adds undo/rollback handlers to AI agent tool calls so that if a step fails mid-task, previously completed steps are automatically reversed.
Claude Code Templates is an open-source collection of ready-to-use Claude Code configurations, with a CLI to install agents, commands, settings, hooks, MCPs, and skills.
Dan Kornas highlights a curated directory of Model Context Protocol (MCP) servers, grouping implementations by job and linking to supported hosts like Claude Desktop, Cursor, VS Code, and Zed. The open-source directory includes security guidance and official markers.
Google added background execution and remote MCP support to managed agents, raising concerns about task drift and the need for fresh approvals during long-running work.