mcp

NotesQR, an anonymous P2P file sharing tool built on WebRTC, has been completely rewritten with faster handshakes, plus a new CLI and MCP integration so AI agents like Cursor or local scripts can send and receive files programmatically.

webclaw is an open-source tool that converts websites into clean Markdown, JSON, and LLM-ready context, available as a CLI, MCP server, REST API, and SDKs for AI agents and RAG pipelines.

The article discusses the deprecation of Sampling in the MCP spec as of the 2026-07-28 changelog, shifting model-call costs from clients to servers, and advises how to check if a server relies on Sampling via code or logs.

Argues that AI agents in enterprises are composed of code artifacts like skills, tools, and MCP servers, so they should be governed like software code rather than as documents or approval lists, since agents are unstable while underlying skills are reusable and stable.

DronaHQ MCP is introduced as a bridge between AI coding assistants and backend systems, providing scoped access without exposing raw credentials. It handles permissions, secrets, auth, audit trails, and deployment so AI agents can safely build application logic in production.

Introduces tvscreener, a Python library that can directly fetch TradingView stock screener data, supports multiple markets and 13,000+ technical indicators, returns Pandas DataFrame, and is convenient for quantitative strategy use.

Yohei Nakajima introduces Remoko, a mobile agent relay that lets long-running agents send iOS push notifications via MCP for questions, approvals, and check-ins, with a TestFlight beta available.

A developer describes how an AI agent wrote a Stripe handler that double-provisioned customers on webhook retries, and how using FetchSandbox MCP to simulate retries helped catch and fix the idempotency bug.

The author built sidetap, a Python harness that lets an LLM agent control a real iPhone from Windows over USB, with safety features like a kill switch and guardrails. The post details the technical challenge of sideloading WebDriverAgent with a free Apple ID and introduces the open-source tool.

A simple Python library retrieves data from TradingView Screener, featuring a visual code generator for 13,000+ fields and Model Context Protocol (MCP) support for AI assistants.

Introduces Apple Health MCP Server, an open-source Model Context Protocol server that enables SQL querying and DuckDB-based analysis of exported Apple Health data, featuring natural-language queries, health reports, and lazy loading.

Kent C. Dodds announces Kody is moving to heykody.app, positioning it as an AI agent that integrates with existing assistants like Cursor and Claude Code to securely access services and run automated jobs such as Slack catch-up, week planning, and GitHub triage.

Teknium announces that Hermes Agent now supports the portable plugins standard adopted by major AI players, enabling compatibility with MCPs and Skills while retaining native plugin extensions.

Agentic Harness is a new open-source Python infrastructure that turns YAML files into executable agent workflows, featuring markdown audit logs, pre-built specialists, cost guardrails, native MCP support, and local model integration.

The Agent Plugins standard, backed by OpenAI, Cursor, Google, Vercel, and others, is released as a way to package agent skills with MCP connectors for easy installation on any harness. The author notes it is mostly packaging rather than a breakthrough, but important for agent distribution.

Raises concerns that MCP servers may introduce new architectural dependencies, questioning whether agents tied to specific server auth and implementations are truly portable.

Google has joined Open Agent Plugins as a core maintainer, helping build an agent ecosystem layer that covers discovery, cataloging, packaging, and running of portable agent capabilities.

Vercel announces Agent Plugins 1.0.0, an open, vendor-neutral standard for packaging Agent Skills and MCP servers into distributable plugins, giving AI agents a common format for discovery and loading.

OpenAI announces Agent Plugins, an open standard developed with AWS, Cursor, GitHub, Code, and Vercel to package Agent Skills and support MCP server configurations, enabling plugins to work across compatible agent clients. Matt Pocock reacts enthusiastically and expects a skills plugin soon.

Vercel and partners introduce Agent Plugins, an open standard for extending AI agents with skills and MCP servers, now supported by Cursor.