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What is MCP?
Artificial Intelligence Connection Protocol

Model Context Protocol (MCP) is the most important artificial intelligence standard of 2026 . It is an open protocol that allows AI assistants to securely connect to your local data, databases, and tools. Claude is fully compatible with OpenAI and other major models.

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What is Model Context Protocol (MCP)?

Model Context Protocol (MCP), developed by Anthropic and recently made available as open source, is a protocol that standardizes how artificial intelligence models (LLM) communicate with the outside world. As of 2026 ,it has become the fundamental building block that enables AI agents to act like “internet browsers.”

While in the past, a separate integration (API connection) had to be written for each artificial intelligence model, thanks to MCP, all models (Claude, ChatGPT, Gemini, etc.) can access your data with a single standard. This protocol creates the same universality in the artificial intelligence software world that the USB-C cable creates in the hardware world.

Simple Analogy

You can think of MCP as a “universal plug” that gives your AI assistant access to files on your computer, the company database, or Slack messages. When you plug it in, the model can read data, analyze it and take action.

MCP works on client-server architecture. This structure prioritizes security and ensures that the model accesses only permitted data. It has revolutionized especially RAG (Retrieval-Augmented Generation) systems.

Open Source

It is developed by the community and is free. Anyone can write their own MCP server.

Local Security

Your data is processed on your local network or secure servers, without going to the cloud.

Plug-in Structure

Once you write the MCP server you can use it in all AI clients (Claude Desktop, IDEs).

How Does MCP Architecture Work?

MCP consists of three basic components. The harmonious operation of these components is the basis of the "Agentic AI" concept, which is frequently mentioned in 2026 SEO trends.

MCP Server

It is where the data is located. It is a small software that exposes your files, database or API to the outside. Defines Resources, Tools and Prompts.

MCP Client

It is an application that hosts the artificial intelligence model. For example: Claude Desktop, Cursor Editor or a web interface you have developed specifically. Initiates the connection with the server.

Transport Layer

It is the communication layer. Usually stdio (standard input/output) or SSE They communicate with JSON-RPC messages via (Server-Sent Events).

Technical Communication Flow

1. Handshake: Client and server communicate their capabilities to each other.
2. Resource Discovery: The server lists the data sources it has available.
3. Tool Execution: The client (AI) wants to call a function on the server (e.g. "search database").
4. Approval and Process: The security layer receives confirmation from the user (optional) and the transaction takes place.

MCP Server Setup and Code Samples

Python or TypeScript (Node.js) are the most popular languages for developing an MCP server. Below is an example of a simple Python MCP server. This server has the ability to list files in a local folder.

weather_server.py
from mcp.server.fastmcp import FastMCP # Define server mcp = FastMCP("WeatherService") # Define a tool that the AI can use @mcp.tool() def weather_getir(city: str) -> str: """Returns the weather forecast for the specified city.""" # In the real scenario an API call is made here data = { "istanbul": "Partly Cloudy, 15°C", "ankara": "Sunny, 10°C", "izmir": "On, 18°C" } return data.get(city.lower(), "Unknown city") if __name__ == "__main__": # Start the server mcp.run()

To run this code, you must have a Python environment installed on your server. Eka Sunucu's Python supported hosting or VPS packages are ideal for this process.

Configuration (claude_desktop_config.json)

To introduce the server you created to a client such as Claude Desktop, you add the following to the settings file:

JSON
{ "mcpServers": { "hava-durumu": { "command": "python", "args": ["/path/to/weather_server.py"] } } }

Server Requirements for MCP

MCP servers are generally lightweight but need to be constantly running and have low latency. Database connections must be fast, especially for RAG (Retrieval Augmented Generation) operations.

feature Minimum Requirement Recommended (Production)
Processor (CPU) 2 vCPU 4 vCPU and above
Bellek (RAM) 4 GB 8 GB - 16 GB
Depolama SSD NVMe SSD (for Vector DB)
Link Standart 1 Gbit/s Port
Infrastructure Type Shared (Restricted) Virtual Server (VPS/VDS)

Eka Sunucu Recommendation

To host your MCP servers Our VDS packages We recommend. Thanks to Python, Node.js and Docker support, you can launch your MCP servers in seconds and provide 7/24 uninterrupted artificial intelligence connection. Also SSL Certificate Don't forget to encrypt your connections with .

Frequently Asked Questions (FAQ)

What is the difference between MCP and API?

API (Application Programming Interface) is a special bridge for two software to talk. The API of each service is different. MCP is a universal standard. Once you write an MCP server, it can be used by Claude, ChatGPT, IDEs, and all other MCP-supported AI tools without writing additional code.

Do I need to be a software developer to use MCP?

To use ready-made MCP servers (those written for Google Drive, Slack, GitHub, etc.) no deep software knowledge is required, only the configuration file is edited. However, creating an MCP server to connect to your own private data (for example, an on-premises SQL database) requires basic knowledge of Python or TypeScript. Web Software You can get support from our team on this matter.

Is my data sent to artificial intelligence companies?

No, this is the biggest advantage of MCP. The MCP server is under your control (on your own computer or Eka Sunucu VPS). The artificial intelligence model only sees the immediate context that you "allow". You don't load your entire database into the model, the model only queries the part that is relevant to the question being asked.

What operating systems does MCP Server run on?

MCP protocol is platform independent. It can run on Windows, macOS and Linux. For production environments, Linux-based (Ubuntu, AlmaLinux) servers are recommended for performance and security.

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