# mcp

The MCP 2026-07-28 spec ships with a core shift from stateful bidirectional protocol to stateless request/response. Also brings MRTR, HTTP header routing, cacheable list responses, auth hardening, a formal extensions framework, and a twelve-month deprecation policy.

llama.cpp creator Georgi Gerganov demonstrates Gemma 4 26B running at a blistering 300 tokens/s on a three-year-old Mac Studio M2 Ultra with speculative decoding. Throw in a WebUI and MCP support, and the whole ecosystem has become almost absurdly mature.

Mem0 breaks down Codex CLI memory: not a vector database, but local Markdown, background summaries, credential scrubbing, and grep search. This post looks at when local notes are enough, and when a semantic memory layer makes sense.

After Ramp's MCP grew 10x WAU and Salesforce shipped Headless 360, PM Teddy says UI isn't dead — but 80% of software is flipping to agents. The piece starts from one detail (why Notion's MCP feels orders of magnitude better than Slack's) and pulls the whole new architecture into view.

Anthropic's guide to connecting production agents to real systems. When agents move to the cloud, API / CLI / MCP all ship — only MCP compounds. Uses Cloudflare's MCP server (2 tools, ~2,500 endpoints, ~1K tokens) as the benchmark for remote-first design, intent-grouped tools, and production auth.

Figma's MCP server lets Claude Code and Codex work directly on the design canvas with your team's design system. Skills turn conventions, components, and variables from static guidelines into rules agents can actually follow.

Anthropic launches Claude Code Channels with native Telegram and Discord support, turning Claude Code into a 24/7 always-on AI agent. VentureBeat calls it the OpenClaw killer.

Someone took the Claude Certified Architect exam content and broke it all down — five domains, core concepts, anti-patterns, and hands-on suggestions. The certificate doesn't matter; the knowledge does.

DataTalksClub founder Alexey Grigorev shared the AI Engineering Buildcamp syllabus: LLM APIs, RAG, Agentic Flows, Monitoring & Guardrails, Evaluation, and a capstone. A practical learning path for building agentic AI in production.

A hot HackerNews project called Context Mode uses sandbox isolation and smart retrieval to block bloated tool outputs from flooding LLM context windows — claiming up to 98% token savings!

Karpathy argues CLIs are the natural interface for agents precisely because they are legacy tech: text in, text out. His Claude Polymarket terminal demo lands the bigger question: can agents access and use your product?

Simon Willison argues CLI tools beat MCP for coding agents in most cases: lower token cost, no extra dependencies, and native --help affordances. Anthropic's code-execution-with-MCP proposal admits the token-waste problem too.

Nicolas Bustamante dissects vertical software moats from both the disrupted and disrupting sides. Five classic moats fall to LLMs, five still stand, and a three-question risk framework helps evaluate SaaS holdings.

New paper: comprehensive security threat modeling of MCP, A2A, Agora, ANP (4 major AI agent protocols). Finds 12 protocol-level risks, including MCP being tricked 73.3% into calling wrong tool providers. Important for Claude Code, OpenClaw, Cursor users.

Figma & Anthropic launch 'Code to Canvas,' converting Claude Code UI to editable Figma frames & back, ending "screenshot-to-Slack" workflows. With Figma stock down 85%, is it self-preservation or boosting Anthropic?

Hook up Codex as an MCP server inside Claude Code with a single command. Why fight Codex CLI's rough edges when you can plug its brain into a better body?

Claude Code creator Boris Cherny posted a 12-tweet thread breaking down why engineers love Claude Code: extreme customizability — hooks, plugins, LSPs, MCPs, skills, custom agents, output styles, 37 settings, 84 env vars, all committable to git for team sharing.

Nicolas Bustamante argues LLMs are ending Ben Thompson's Aggregation Theory. With chat as the universal interface, SaaS companies' moats built on 'workflow complexity + user muscle memory' evaporate, leading to pure API vs API commodity competition.

Google launched the Developer Knowledge API and an official MCP Server (Public Preview), letting AI coding tools query current Firebase, Android, Google Cloud, and Chrome docs instead of inventing APIs from three versions ago.