Twelve dimensions across seven providers. Re-graded as announcements land, with the market's reaction shown alongside.
Platform leverage · updated 2026-06-01
The developer's favorite API: clean tool use, strong agents, available via AWS and GCP.
Breadth, quality, and economics of the APIs developers build on. Tool use, structured output, fine-tuning, embeddings, agent frameworks: the leverage that turns a model into a platform.
An enterprise survey: OpenAI still leads adoption but Anthropic and Google gain fast, a multi-vendor oligopoly.
Anthropic donates MCP to the new Agentic AI Foundation, so MCP shifts from vendor project to neutral infrastructure.
Anthropic hands MCP to a Linux Foundation fund to keep it open amid 97M+ monthly SDK downloads.
MCP's rise from open-source experiment to de facto standard adopted across OpenAI, Microsoft, GitHub, and Google.
Presenting MCP servers as code APIs cuts agent token usage by up to 98.7% by loading only needed tools.
AI engineering matures into a vertical; agents, reasoning, and orchestration tooling are the practical frontier.
A crisp working definition of an agent that clarifies the core mechanism behind the agentic-platform shift.
How MCP's open tool model enables prompt-injection and 'rug pull' mutations: the security tax of the standard.
MCP became the de facto agent-integration standard via AI-native design, Anthropic's developer brand, and first-party tooling.
Anthropic claims Claude now authors most of its own production code, and what agentic coding means for enterprises.