With a stateless makeover, new MCP spec targets enterprise scale
This week, the Model Context Protocol (MCP), an open-source standard for how AI systems interact with external tools and data sources, saw its largest update since its introduction. Most notably, MCP's protocol core is now stateless, so requests are no longer dependent on a session tied to an individual server instance. This change has the potential to address long-standing barriers to scalability. The blog post announcing the specification, written by lead maintainers David Soria Parra and Den
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The Model Context Protocol is an open source standard that enables AI systems to interact with external tools and data sources. The protocol's largest update transformed it from a stateful system dependent on individual server sessions into a stateless request/response system, addressing a major barrier to scalability that developers had requested. This change, along with additions like Multi Round-Trip Requests, header-based routing, and a new deprecation policy ensuring 12 months before feature removal, is designed to make enterprise deployment much easier. The protocol was originally introduced by Anthropic and is now managed by the Agentic AI Foundation under the Linux Foundation, with contributions from multiple major technology companies.
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