As artificial intelligence becomes more sophisticated, with models that already reason, write code, and respond with surprising accuracy, an urgent need arises: connecting these digital minds to the data and tools we use every day. This is where the Model Context Protocol (MCP) comes in , a proposal from Anthropic that promises to be the “USB-C port” of artificial intelligence.
Imagine having an assistant that not only understands you, but can also access and operate on your favorite systems—like Google Drive, GitHub, or Slack—without having to teach it how to do so from scratch. That’s precisely what MCP offers.
What is the Model Context Protocol (MCP)?
MCP is an open standard created by Anthropic , the company behind the Claude assistant. It aims to solve a common problem: every time you want to connect an AI to a new system (a database, a CRM, an internal app), you have to create a custom integration. This takes time, resources, and is often unnecessarily repetitive.
With MCP, that changes. This protocol defines a standardized way for AI assistants to communicate with multiple data sources and tools, using a common language and a clear structure. It’s like creating a universal plug where there were previously dozens of different adapters.
How the MCP works
The heart of MCP is a client-server model. On one side, you have the MCP client (the AI, like Claude). On the other, you have the MCP server (the system that holds the data or performs the actions). The two communicate via JSON-RPC , a lightweight yet powerful protocol.
In this architecture, the AI assistant establishes sessions with different servers, and each can offer three types of capabilities:
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Prompts : Predefined instructions or templates that AI can use as a basis.
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Resources : Structured information, such as snippets of text, code, or relevant data.
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Tools : Functions that AI can perform, such as performing a web search or updating a record.
And from the client side, AI can also offer:
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Roots : Entry points to the user’s system, such as local files.
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Sampling : A request for the AI to generate a response based on a specific instruction, ideal for multi-step reasoning (always with human supervision).
All of this enables secure, structured, two-way communication , where AI can not only access information but also act on it.
Practical advantages of the Model Context Protocol
The magic of the MCP lies in its tangible utility. Here are some of the most notable advantages:
1. More accurate and useful answers
When an AI has real-time access to relevant context—like your team’s documents or the status of a project—it can respond more accurately and be truly helpful. It’s no longer based solely on what it was trained to do, but on what’s happening right now .
2. Fewer custom integrations
Thanks to MCP, developers don’t have to build a new integration from scratch every time. With a single standardized connection, they can use the same “gateway” across multiple projects or with different AI models.
3. Interoperability between systems
Because the protocol is open and not dependent on a single company or vendor, it allows different models and tools to work together. A single MCP server can feed multiple AIs, and one AI can interact with multiple servers. This offers flexibility and scalability .
4. Better management of permissions and security
MCP connections are controlled by the host application (the environment where the AI runs), which defines which servers it can use, when, and how. Enhancements with OAuth 2.0 authentication will be added in 2025, enabling even more robust security.
5. Greater development speed
With pre-configured MCP servers for services like Slack, Google Drive, GitHub, or PostgreSQL, teams can connect their AIs in minutes, not weeks. Repetitive work is reduced and value delivery is accelerated.
MCP Use Cases in 2025
Corporate Assistants
Imagine an internal chatbot that can query your employee database, review tasks in Asana, and answer questions in Slack, all without human intervention. With MCP, this is no longer a fantasy. AI can access the right data at the right time.
Programming agents
Tools like Zed and Replit are already integrating MCP so their assistants can understand the context of a repository, access issues, or perform actions like compiling or testing. It’s a radical change in the way we develop software.
Personal productivity
Would you like to have an AI that reads your emails, schedules meetings, manages your tasks, and controls devices? With MCP, this is possible using already available connectors for Gmail, Google Calendar, or Puppeteer (automated web browsing). Demos are already available that make it possible.
Dynamic applications
From educational assistants that query sources in real time to systems that combine multiple tools—such as databases, files, and external APIs—the MCP allows for the construction of truly useful and adaptable intelligent agents .
What’s next for MCP in 2025
Anthropic has a clear roadmap for the coming months, focused on:
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Security improvements : incorporation of OAuth 2.0 and more precise access control mechanisms.
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Service Discovery : Making it easier for an AI to automatically find and connect to available servers.
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Support for stateless (serverless) environments .
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Handling hierarchical agents : enabling complex flows with multiple sub-agents collaborating and communicating.
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Support for more formats : such as video and audio, expanding the protocol’s capabilities beyond text.
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Community development : The protocol is open source and available on GitHub. Anthropic encourages any developer to propose improvements, publish new connectors, and help make MCP an industry-wide standard.
A future of more integrated and useful AI
The Model Context Protocol represents a key evolution in the way AI and digital tools interact . Its purpose is clear: simplify integrations, increase interoperability, and enable AI models to work with current, accurate, and well-structured information.
With an active community, a solid technical foundation, and growing adoption, everything points to MCP being a fundamental pillar in the AI ecosystem in the coming years.
