diff --git a/content/en/docs/marketplace/genai/concepts/model-context-protocol.md b/content/en/docs/marketplace/genai/concepts/model-context-protocol.md
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@@ -60,3 +60,4 @@ Furthermore, an MCP Client example teaches you how to establish a connection to
 * The official [MCP docs](https://modelcontextprotocol.io/introduction)
 * The [MCP Java SDK GitHub Repository](https://github.com/modelcontextprotocol/java-sdk)
 * A blog post on [How to use MCP to bring Mendix Business Logic into Claude for Desktop](https://www.mendix.com/blog/how-to-use-mcp-to-bring-mendix-business-logic-into-claude-for-desktop/)
+* [Connect a Mendix AI Agent to a Snowflake-Managed MCP Server](/appstore/modules/snowflake/)
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diff --git a/content/en/docs/marketplace/platform-supported-content/modules/snowflake/snowflake-mcp.md b/content/en/docs/marketplace/platform-supported-content/modules/snowflake/snowflake-mcp.md
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+---
+title: "Connect a Mendix AI Agent to a Snowflake-Managed MCP Server"
+linktitle: "Connect Mendix to a Snowflake MCP Server"
+url: /appstore/modules/snowflake/connect-ai-agent-to-snowflake-mcp/
+description: "Describes the steps required to use a Snowflake-managed MCP server with a Mendix AI ageint."
+weight: 80
+---
+
+## Introduction
+
+The Model Context Protocol (MCP) is an open protocol that standardizes how Large Language Models (LLMs) can autonomously connect to apps. Many AI platforms and third-party systems have already adopted MCP for easier integration and empowerment of LLMs. Mendix provides an MCP Server module to facilitate an MCP server from a Mendix app, as well as an MCP Client module. For more information, see [Model Context Protocol (MCP)](/appstore/modules/genai/mcp/).
+
+[Snowflake-managed MCP servers](https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents-mcp) let AI agents securely retrieve data from Snowflake accounts without needing to deploy separate infrastructure. Mendix users can configure the [MCP Client Module](/appstore/modules/genai/mcp-modules/mcp-client/) to enable the connection from a Mendix AI agent to a Snowflake MCP server.
+
+### Typical Use Cases
+
+[What do we want to achieve?]
+
+### Prerequisites {#prerequisites}
+
+[Any specific versions of Studio Pro? Other prereqs?]
+
+To establish a connection between a Mendix AI Agent and a Snowflake-managed MCP server, you must also install the following modules and their prerequisites:
+
+* [Agent Builder Starter App](https://marketplace.mendix.com/link/component/240369)
+* [MCP Client](https://marketplace.mendix.com/link/component/244893)
+* [MCP Server](https://marketplace.mendix.com/link/component/240380)
+
+## Preparing a Snowflake-Managed MCP Server
+
+To configure a Snowflake-managed MCP server, follow these steps: 
+
+1. In Snowflake, set up a database and schema which will be used by the server.
+2. Create the following stored procedures which the MCP server will expose as tools:
+
+    * `GET_SCHEMA_METADATA`
+    * `RETRIEVE_RECORDS`
+    * `INSERT_RECORD`
+
+3. Create the MCP server. For more information, see [Create an MCP Server object](https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents-mcp#create-an-mcp-server-object) in Snowflake documentation.
+4. Create the authentication and access configuration, so it can invoked by Mendix.
+
+    1. Retrieve the IP addresses.
+    2. Create a `NETWORK RULE` using the IP addresses that you retrieved.
+    3. Create a `NETWORK POLICY`.
+    4. Set the user to use this policy.
+    5. Create a Personal Access Token (PAT) for the user.
+
+## Connecting a Mendix Agent to the MCP Server
+
+After preparing the MCP server, you can now create a Mendix AI agent and connect it to the server by performing the following steps:
+
+1. In Studio Pro, create a new app using the [Agent Builder Starter App](https://marketplace.mendix.com/link/component/240369).
+2. In the [MCP Client](/appstore/modules/genai/mcp-modules/mcp-client/), add the credentials for your Large Language Model.
+3. Create a microflow to retrieve the Snowflake user PAT that you created in the previous section.
+4. Add the Snowflake MCP server.
+5. Create an AI agent and configure the following properties:
+
+    * LLM
+    * Prompt
+    * Snowflake-managed MCP server
+
+6. Test your agent and verify that it can connect to the Snowflake-managed MCP server.
+
+## Example
+
+[video link when available]