# Deployment

Wisej.NET can be deployed in several ways, with or without a web server:

* [Internet Information Server](https://docs.wisej.com/deployment/targets/iis) (IIS) is the most common deployment target.
* Cloud deployments, such as [Amazon AWS](https://docs.wisej.com/deployment/targets/amazon-aws), [Microsoft Azure](https://docs.wisej.com/deployment/targets/microsoft-azure), …
* Most modern [ASP.NET Provider](https://docs.wisej.com/deployment/targets/asp.net-providers).
* [NGINX ](https://docs.wisej.com/deployment/targets/nginx)and [Apache ](https://docs.wisej.com/deployment/targets/apache)as reverse proxies.
* Desktop Application through the [Standalone ](https://docs.wisej.com/deployment/targets/standalone)deployment.
* Local service or process through the [Self Hosting](https://docs.wisej.com/deployment/targets/self-hosting) deployment.
* Containerized deployment using [Docker](https://www.docker.com/) or any other Windows container technology.

{% hint style="info" %}
Version 2.x of Wisej.NET can only be deployed on Windows machines. Linux is supported starting from version 3.0.
{% endhint %}

Usually, the deployment is just a matter of copying the correct files to the target machine and configure the web server to recognize the deployed folder as an application.

We cover each scenario in this document, the most common are:

{% content-ref url="targets/iis" %}
[iis](https://docs.wisej.com/deployment/targets/iis)
{% endcontent-ref %}

{% content-ref url="targets/microsoft-azure" %}
[microsoft-azure](https://docs.wisej.com/deployment/targets/microsoft-azure)
{% endcontent-ref %}

{% content-ref url="targets/amazon-aws" %}
[amazon-aws](https://docs.wisej.com/deployment/targets/amazon-aws)
{% endcontent-ref %}

{% content-ref url="targets/asp.net-providers" %}
[asp.net-providers](https://docs.wisej.com/deployment/targets/asp.net-providers)
{% endcontent-ref %}

### MCP Endpoint <a href="#mcp-endpoint" id="mcp-endpoint"></a>

The documentation is also available through an **MCP (Model Context Protocol) endpoint**, enabling AI tools and agents to access it directly as a structured, queryable source. Instead of relying on static content or embeddings, MCP allows real-time discovery, search, and retrieval of authoritative information. Use the following endpoint to connect your AI client and interact with the documentation programmatically: <https://docs.wisej.com/deployment/~gitbook/mcp>.