Anthropic’s Model Context Protocol just published its official specification release candidate on July 28, the clearest sign yet that the industry has settled on one shared way for AI agents to connect to the tools and data they need to actually do work. If you’ve used an AI agent that can check a CRM record, pull a file from cloud storage, or query a database without a custom integration built just for that combination, there’s a good chance MCP is the plumbing making it possible.
What makes this milestone matter isn’t the protocol itself, which has existed since late 2024. It’s who’s building on it now: Google, Microsoft, Salesforce, Snowflake, and ServiceNow have all shipped MCP connectors or compatibility over the past several months, turning what started as an Anthropic project into genuine shared infrastructure. Anthropic handed governance of the protocol to the Linux Foundation’s Agentic AI Foundation late last year specifically so it wouldn’t stay a single company’s advantage, a release candidate under that kind of neutral stewardship is a different signal than a vendor announcing “we support X.”
The practical upside for anyone building or buying agent tools: fewer one-off integrations. An agent that speaks MCP can, in principle, connect to any tool that also speaks MCP, similar to how a USB device works across different laptops without a custom driver for each one. Before this kind of standard existed, every agent-to-tool connection was its own small engineering project.
The honest caveat: a release candidate isn’t a finished, locked spec, and “shipped a connector” covers a wide range of actual quality, from a genuinely useful integration to a checkbox feature nobody’s tested under real load. If you’re evaluating an agent platform based on its MCP support, ask what specifically it connects to and how well, not just whether the box is checked.