About the publication

Protocol reporting with a memory.

MCP changes quickly. This project exists to explain what the Model Context Protocol is now, preserve how it got here, and make the evidence behind each conclusion easy to inspect.

Who publishes MCP Blog

MCP Blog is an independent editorial project. It is not operated by Anthropic, the Agentic AI Foundation, the Linux Foundation, or the official Model Context Protocol project. “MCP” is used descriptively to identify the protocol we cover.

Articles are published under the MCP Blog Editorial Team byline while the project is in its founding stage. Our work begins with a structured evidence set and favors specifications, standards, source history, security advisories, and first-party technical documentation over second-hand summaries.

Why another MCP publication?

The July 2026 specification created a sharp compatibility boundary. It removed initialization and sessions from the modern core, introduced discovery and multi-round-trip requests, and moved some behavior into extensions. Yet many highly visible explainers continue to describe the previous stateful architecture without a version label.

Our answer is simple: attach a protocol revision to technical explanations, label historical behavior, and give readers the sources needed to verify the distinction.

How automation is used

Automated tools may assist with research organization, drafting, link checks, structured-data generation, and build validation. They are not treated as evidence. Factual claims are expected to resolve to the public source trail, and analysis or inference is labeled as such when the distinction matters.

What comes next

The initial publication focuses on foundations, specification history, architecture, migration, comparisons, and security—the areas the present evidence base supports. Vendor-documented support snapshots may be published when they are date-stamped and clearly labeled as documentation reviews. Claims of tested interoperability, hands-on performance, benchmarks, or server recommendations require reproducible execution evidence and will only be added with that additional work.