gflow-cli becomes MCP-native, enabling AI assistants to drive Google Veo/Imagen
The open-source CLI tool gflow-cli now integrates with the Model Context Protocol (MCP), allowing AI assistants like Claude to control Google's Veo and Imagen models. The update adds reliability fixes for batch runs and a --ui-mode to prevent credit waste. The tool remains unofficial and alpha, carrying account risk.
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OpenAI Codex CLI v0.144.0 adds usage-limit credit details, writes approval mode, and interactive MCP auth
OpenAI released Codex CLI v0.144.0 on July 9, 2026, introducing usage-limit reset credits with type/expiration display and selection, a new `writes` app-approval mode for granular read/write permissions, and interactive authentication for MCP tools without experimental opt-in. These features improve developer control over API usage and security.
MCP servers and Claude Code CLI updated with new features and fixes
On July 10, 2026, the Model Context Protocol (MCP) servers and Claude Code CLI received updates. The MCP servers release v2026.7.10 updated packages for filesystem, time, fetch, and git. Claude Code CLI v2.1.206 added directory path suggestions for /cd, a /doctor check for trimming CLAUDE.md files, and improved git push handling.
llm-eyes tool lets any blind LLM see via tiny local VLM
A GitHub project called llm-eyes bolts a tiny vision-language model (Qwen3.5-0.8B) onto any machine as a local vision service, enabling text-only models like DeepSeek V4 Flash, Qwen, and Llama to caption images, watch webcams, or read video. It runs on Mac (MLX), PC+NVIDIA (llama.cpp), and DGX Spark, and exposes an OpenAI-compatible API.
On-device Android AI agent with MCP server for UI control
Aura is an on-device AI agent for Android that can interact with the phone's UI — tapping, typing, scrolling, launching apps, and navigating — using its own on-device MCP server. It uses LLMs to interpret commands and execute actions via MCP tools. The MCP server is also accessible to external clients like Claude Code, enabling remote control of the Android device. This solves the problem of automating phone tasks without cloud dependency.
Upload project folder to get optimized markdown for LLM context
A web tool that lets users upload an entire project folder and receive a single, clean, optimized markdown file ready to paste into Claude or Codex. It solves the problem of manually preparing context for LLMs by automatically consolidating and formatting code files. All processing is done client-side for privacy.
