What is the Model Context Protocol (MCP)?

The Model Context Protocol (MCP) is an open-source standard designed to streamline how AI applications connect with external data sources, tools, and systems. MCP simplifies integration by providing a standardized interface and eliminating the need for custom connections. It ensures large language models (LLMs) can securely access real-time data, letting them perform tasks that go beyond their initial training.

How does MCP improve AI integrations?

MCP improves AI integrations by: Providing a standardized protocol, thereby simplifying the setup of integrations. Streamlining how AI models connect with external tools and data sources. Enabling AI agents to access real-time data to go beyond their initial training. Supporting various AI models and promoting seamless integration across different platforms. Allowing developers to focus on the core AI application logic instead of managing individual integrations.

How do MCP servers work?

MCP servers use a client-server architecture to facilitate communication between AI models and external sources. MCP clients initiate requests, and MCP servers process them by interacting with systems like APIs and databases. The server retrieves the necessary data or performs the required action, then sends the response back to the client. This setup enhances integration while ensuring security and efficiency.

How does the new n8n MCP integration enhance AI workflows?

n8n offers native support for MCP through two powerful nodes: the MCP Client Tool and the MCP Server Trigger. The MCP Client Tool connects AI agents to external MCP-enabled services. At the same time, the MCP Server Trigger turns a specific n8n workflow into an individual MCP server, so connected AI models can access that workflow and its tools seamlessly.

How do I set up MCP on Hostinger?

To set up MCP on Hostinger, install n8n on your server . Once installed, add the MCP Client Tool node and configure the SSE endpoint and authentication details. To expose an n8n workflow as an MCP server, add the MCP Server Trigger node, secure the endpoint, and enable AI agents to call workflows directly. For a complete guide, read our tutorial on using n8n with MCP on Hostinger's VPS .

Do you offer an API for MCP servers?

Yes, we provide an API that enables seamless integration of Hostinger's services with AI tools that support MCP, such as Claude, Cursor, and other AI assistants. The MCP server then exposes Hostinger API endpoints as callable tools, so the AI models can fetch live data or perform real-time actions on the hosting infrastructure. Visit our guide to learn how to set up the Hostinger API MCP server .

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Reduce complexity and integrate AI applications using MCP

The Model Context Protocol (MCP) lets you connect AI applications to tools, files, and APIs without needing to set up custom integrations.

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