AI Launch Profile

Introducing the Model Context Protocol

Anthropic open-sourced the Model Context Protocol as a standard for connecting AI assistants to external data sources and tools.

Anthropic Unveils Model Context Protocol: A New Era of AI Connectivity article image

At a glance

Launch Snapshot

Company
Anthropic
Launch date
November 25, 2024
Launch type
Open-Source Release
Category
AI Infrastructure
Audience
Developers, Enterprises, Operators
Pricing
Open standard and SDK ecosystem; implementation costs depend on hosting, clients, servers, and platform usage.
Free plan
Yes
API
Yes
Open weights/source
Yes

Verification & Sources

Status
Verified
Source links
2
Freshness
Needs recheck: verified June 8, 2026
Last verified
June 8, 2026
Last updated
June 11, 2026

Key source checks

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Kingy Launch Score

8.2 / 10 · Solid

One earned credibility score, computed from cited evidence — not a placeholder. How the Kingy Launch Score works

Why this score

  • Source & verification 7.5/10 — The announcement plus the public protocol organization on GitHub — dated, single-vendor sourcing. anthropic.com
  • Product evidence 9.0/10 — An open-sourced standard with public repositories, SDKs, and reference servers — fully inspectable. github.com
  • Significance & novelty 9.0/10 — An open standard for connecting assistants to external data and tools — category-defining infrastructure for the agent ecosystem. anthropic.com
  • Traction signals not scored — insufficient sourced evidence
  • Offer clarity 7.0/10 — An open standard and SDK ecosystem; implementation costs depend on hosting, clients, and servers. github.com

Evidence checked 2026-07-10

Kingy AI Take

Anthropic open-sourced the Model Context Protocol, a standard for connecting AI assistants to external data sources and tools, with public repositories, SDKs, and reference servers (anthropic.com). Developers and Enterprises wiring assistants into repositories, documents, and business systems get an inspectable, vendor-neutral integration layer. Adoption claims are not cited in this record, so judge MCP by the servers and clients your own stack actually supports.

Who it is for

Developers and organizations building assistants that need secure access to repositories, documents, business tools, databases, and environments.

Traction notes

MCP became a widely adopted integration layer across agentic AI tools and developer products.