MCP, the open Model Context Protocol that lets AI agents call external tools, is consolidating around one HTTP transport, agent identity for non human callers, and primitives for long running work.
MCP, the Model Context Protocol and open standard that lets AI agents call external tools and services, just got a mid-cycle update. The new roadmap reads as consolidation, not expansion.
Three beats shape the next phase. First, transport: maintainers are pushing toward one HTTP-native transport, the same plumbing that runs most web services, so a remote MCP server runs like any other HTTP workload instead of needing bespoke hosting. The work builds on the 2026-07-28 spec release and extends that transport to local servers over stdio.
Second, agent identity. Today, MCP authorization assumes a person in a browser. The roadmap describes the agent identity work as built on existing standards rather than pasted API keys. The specifics — which standards and authorization grants will carry the weight — remain open.
Third, primitives for long-running work: server-initiated events like webhooks and channels, a maturing Tasks extension (SEP-2663), and standardized result contracts with progressive discovery so a server reveals its catalog as a conversation narrows.
These are maintainer priorities, not adoption proof. Standardizing identity for non-human callers is genuinely hard, and the roadmap leaves the specific standards undefined. Unifying on one transport is a simplification story for new servers and a compatibility story for existing ones.
The honest read: MCP is being shaped for deployment, not demos. Boring on purpose.