Why MCP Won

Enterprise MCP: lessons from GitHub's MCP server launch

GitHub's Engineer shares lessons from developing GitHub's MCP server. An Arcade MCP MVP interview.

MCP Research & Discussion Night · Luma

We're hosting a reading and discussion group for Anthropic's Model Context Protocol. We'll look at the fundamental protocol affordances, its consequences, and…

MCP: What It Is and Why It Matters--Part 1

With the O’Reilly learning platform, you get the resources and guidance to keep your skills sharp and stay ahead. Try it free for up to 14 days.

MCPs need to be designed too

Our MCP tools were fine in isolation, but nothing chained, so conversations came back fragmented. Rebuilding them as a hierarchy cut cost 12% and time to final answer 27%.

A Deep Dive Into MCP and the Future of AI Tooling | Andreessen Horowitz

We explore what MCP is, how it changes the way AI interacts with tools, what developers are already building, and the challenges that still need solving. 

tae kim on Twitter / X

Wow. Jensen suggests that nearly all the growth in TPU and Trainium is driven by Anthropic and that the only reason Anthropic uses TPU and Trainium is because Google and Amazon invested in Anthropic early.Are TPUs and Trainium the reason Anthropic's uptime performance is so… https://t.co/vXsRxtT0mo— tae kim (@firstadopter) April 15, 2026

Workshop Labs is Joining Thinking Machines

We founded Workshop Labs to make people irreplaceable. Today, we're excited to announce that Workshop Labs is joining Thinking Machines to advance that mission.

Anthropic extends MCP with a UI framework

Anthropic is turning Claude into an app platform, with interactive widgets from Slack, Figma, Asana, and others.

Read OpenAI’s latest internal memo about beating the competition — including Anthropic

The memo directly mentioned OpenAI’s intensifying competition with Anthropic.

Micron and Anthropic Announce Strategic Agreement to Scale Next-Generation AI Infrastructure

Micron and Anthropic Announce Strategic Agreement to Scale Next-Generation AI Infrastructure...

Claude Skills vs. MCP: A Technical Comparison for AI Workflows | IntuitionLabs

Learn the key differences between Anthropic's Claude Skills and the Model Context Protocol (MCP). This guide explains their architecture and use cases.

MCP Protocol: a new AI dev tools building block

The Model Context Protocol - that extends IDEs’ AI capabilities - is  gaining rapid popularity. Why is this, and why should us developers pay attention to it?

Steve Krouse on Twitter / X

MCP is mostly nonsense, but there are good effects:1. Tricks management to green-light engineering efforts on APIs and OAuth DCR (Dynamic Client Registration)2. Tricks LLM clients to integrate with everyone, ie an open-ecosystem, not walled gardens3. (Just discovered this…— Steve Krouse (@stevekrouse) November 12, 2025

Explosive MCP Adoption in 2 Years

Den Delimarsky, lead maintainer of the Model Context Protocol and Claude Code engineer at Anthropic, delivers a keynote on MCP's two-year journey from a basic protocol with two SDKs to the industry standard powering half a billion downloads per month. - **MCP's Origin Story** - Launched in November 2024 with a spec, two transports (STDIO and HTTP), two SDKs (Python and TypeScript), and a handful of clients including Claude Desktop - **Five Spec Releases** - Every revision was driven by community input, improving security, adding OAuth support, and simplifying the developer experience for building MCP clients and servers - **The March 2025 Inflection Point** - A 14-day window when major industry players publicly backed MCP, signaling enterprise adoption beyond the early enthusiast community - **MCP 2.0 Release** - The biggest spec update since launch, removing sessions for stateless deployment on AWS Lambda and Cloudflare Workers, and introducing the extensions framework - **Extensions Framework** - MCP Apps, Tasks, and Enterprise managed apps can now be tested as extensions before being added to the core specification - **Explosive Growth** - SDK downloads grew 13x year-over-year, reaching 500 million per month and 3.06 billion cumulative across Python, TypeScript, and C# alone - **Registry Scale** - The open-source MCP server registry surpassed 20,000 entries, a 45x increase since its September launch - **10 Official SDKs** - From the original two, MCP now supports Go (Google), C# (Microsoft), Kotlin (JetBrains), Swift, Rust, and more, each sponsored by major platform companies - **Community Momentum** - 184,000 GitHub stars, 2,500+ unique committers, 736 PRs merged and 600+ issues solved last month alone Whether you are building your first MCP server or scaling agent infrastructure across your organization, this keynote lays out exactly where the protocol stands and where it is heading. Links and Resources - MCP Specification: https://spec.modelcontextprotocol.io - MCP Blog: https://blog.modelcontextprotocol.io - MCP GitHub: https://github.com/modelcontextprotocol - Agentic AI Foundation: https://agenticaifoundation.org - Anthropic: https://www.anthropic.com Timestamps (approximate - adjust as needed) 00:00 Introduction 01:04 Two years of MCP: the origin story 02:43 MCP in 2024: the early days 03:40 Five spec releases in under two years 04:42 The 14 days that changed MCP adoption 05:39 MCP 2.0: the biggest release since launch 06:37 The extensions framework 07:04 MCP as enterprise agentic substrate 08:06 SDK download growth and registry scale 09:51 GitHub ecosystem metrics 11:04 From 2 SDKs to 10 11:55 Community momentum and contribution stats 12:16 Thank you to the MCP community #ModelContextProtocol #AgenticAI #MCPDevSummit