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.

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
Launch Context
Use these links to move from this record into the broader Launch Intelligence database.
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
Suggest a correction
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
Creator Coverage Next Steps
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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.
Source-backed record