The open standard that lets AI assistants connect to your files, apps and tools, and why people compare it to a universal plug.
By FactInfoLive · Published 2026-11-11 · Updated 2026-11-11
The short answer
The Model Context Protocol, usually shortened to MCP, is an open standard for connecting AI assistants to the systems where data and tools live, such as document stores, business apps and developer environments. Anthropic announced and open-sourced it on 25 November 2024.
The problem it solves
Before a shared standard, every connection between an AI model and an outside system needed its own custom code. If you have several AI apps and several tools, the number of one-off connections multiplies. Anthropic's announcement describes MCP as a single protocol that replaces these fragmented integrations, so developers build against one standard instead of a separate connector for each data source.
How it works, in simple terms
MCP uses a client-server design. An MCP server exposes some data or abilities, for example access to a folder, a database or a messaging app. An MCP client is the AI application that connects to those servers. Because both sides follow the same rules, a server built once can work with any compatible client.
According to the project's overview, servers can offer three kinds of things: tools (actions the model can request, with clearly defined inputs), resources (data the model can read) and prompts (reusable templates).
What shipped at launch
Anthropic's launch post listed three parts: the specification with software development kits, support for local MCP servers in the Claude Desktop apps, and an open-source repository of example servers. Pre-built servers were announced for systems such as Google Drive, Slack, GitHub, Git, Postgres and Puppeteer.
Who created it, and who uses it now
Anthropic says MCP was created by David Soria Parra and Justin Spahr-Summers. According to the Wikipedia article on MCP, OpenAI adopted the standard in March 2025, and in December 2025 Anthropic donated it to the Agentic AI Foundation, a fund under the Linux Foundation co-founded by Anthropic, Block and OpenAI. These later points come from a secondary source, so check the project's own site for the latest status.
Why it matters to normal users
You do not need to write code to benefit. When an AI app says it can "connect" to your calendar, files or notes, an MCP server is often what sits between them. The practical questions to ask are the same as for any app: what data can it see, can it change things, and who made the server. Only connect tools you trust.
Limits and honest caveats
MCP is a way to connect things, not a guarantee of safety or accuracy. A connected AI can still make mistakes, and giving it write access means mistakes can have real effects. Treat each connection like a permission you are granting.
Sources
Anthropic, "Introducing the Model Context Protocol" (25 Nov 2024): https://www.anthropic.com/news/model-context-protocol
Wikipedia, "Model Context Protocol": https://en.wikipedia.org/wiki/Model_Context_Protocol
Model Context Protocol official site: https://modelcontextprotocol.io