With the rise of AI agents, a central question arises: How do language models work safe and standardized for tools, data and systems? The answer is Model Context Protocol (MCP) an open standard, which Anthropic End of 2024 it has quickly become the industry standard in 2025/2026 (supported by Anthropic, OpenAI and Google).
Important for classification: MCP is no trick for the context window no “memory memory.” It is a standardized Interface between AI applications (“hosts”) and external resources via so-called MCP server.
The problem that MCP solves
Until now, each AI integration had to build its own connection to each tool and data source – a classic M×N problem. MCP replaces this with a uniform interface: An MCP server provides a data source or tool once ready, and any MCP-enabled AI application can use it.
Technical architecture – how it works
The scheme below shows how an MCP host (such as an AI model, development environment, or agent) communicates with various resources via standardized protocols.
The MCP host acts as a central control unit and communicates with multiple MCP servers via the MCP interface. These servers are each responsible for accessing different resources:
- MCP server A: connects to local resources (such as files on the computer).
- MCP server B: accesses other local resources or databases.
- MCP server C: uses web APIs to access remote resources (external databases or services).
Resources are thus modularly connected, clearly separated from each other and accessible via standardized protocols – the host does not need direct access to every single resource.
Why MCP counts for companies
- Standardized: one protocol instead of countless individual integrations – no vendor lock-in
- Modular & secure: Access is clearly separated, local or remote, traceable
- Basis for Agentic AI: Agents need tools – MCP provides standardized access
- Future-proof: broad tool and platform support since 2025
Conclusion
The Model Context Protocol has established itself as a connecting standard in 2026 – comparable to what USB is for peripherals or HTTP is for the web: a common language through which AI applications speak to the digital world. At ALGEBRA, we use MCP to securely connect AI agents and RAG systems to your existing systems. More on our side AI Consulting.
Would you like to implement this in your company? We support you pragmatically – from the idea to the operation.