Definition
The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to your business tools and data through one common interface instead of a custom build for each.
At a glance
- The “USB-C for AI”: one universal connector, no bespoke code per tool[1].
- Open-sourced by Anthropic in late 2024; OpenAI, Google, and Microsoft adopted it within a year[2].
- Ready-made connectors already exist for Slack, Google Drive, and GitHub.
- Donated to a Linux Foundation group in December 2025, so no single company owns it[3].
Why it matters
Because every major AI provider supports MCP, a tool you connect once works across many assistants. That means faster setup, lower integration cost, and freedom to switch AI vendors without rebuilding everything.
Where it stands
MCP now sees roughly 97 million SDK downloads a month with thousands of connectors available, making it shared industry infrastructure rather than one vendor’s product[4].
Bottom line
MCP turns a tangle of custom integrations into one standard plug: cheaper, faster AI connections, and no vendor lock-in.
References
- Introducing the Model Context Protocol — Anthropic. Anthropic www.anthropic.com
- Model Context Protocol. Wikipedia en.wikipedia.org
- Donating the Model Context Protocol and establishing the Agentic AI Foundation — Anthropic. Anthropic www.anthropic.com
- One Year of MCP, November 2025 Spec Release. Model Context Protocol Blog blog.modelcontextprotocol.io
Comments
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