Integrate Open WebUI with Live SFTP Data via CData Connect AI

Yazhini G
Yazhini G
Technical Marketing Engineer
Leverage the CData Connect AI Remote MCP Server to enable Open WebUI to securely access and query live SFTP data from within the chat interface.

Open WebUI is an open-source, self-hosted AI chat platform that brings together hosted LLM APIs and locally served models under a single, customizable interface. It supports the Model Context Protocol (MCP) through its tool server framework, allowing you to configure external tools and data sources so that chats can reach beyond the model's training data and interact with live systems.

By integrating Open WebUI with CData Connect AI through the built-in MCP Server, Open WebUI gains governed, real-time access to live SFTP data. This enables users to list catalogs, explore schemas, and query records from SFTP data using natural language prompts, with all data access running securely against authorized sources.

This article explains how to configure SFTP connectivity in Connect AI, generate the required personal access token, install Open WebUI, register the Connect AI MCP Server, configure an LLM provider, and verify the integration by querying live SFTP data from the Open WebUI chat interface.

Step 1: Configure SFTP connectivity for Open WebUI

Connectivity to SFTP from Open WebUI is made possible through Connect AI's Remote MCP Server. To interact with SFTP data from Open WebUI, start by creating and configuring a SFTP connection in Connect AI.

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. Adding a connection in Connect AI
  3. Select SFTP from the Add Connection panel
  4. Selecting data source
  5. Enter the necessary authentication properties to connect to SFTP.

    SFTP can be used to transfer files to and from SFTP servers using the SFTP Protocol. To connect, specify the RemoteHost;. service uses the User and Password and public key authentication (SSHClientCert). Choose an SSHAuthMode and specify connection values based on your selection.

    Set the following connection properties to control the relational view of the file system:

    • RemotePath: Set this to the current working directory.
    • TableDepth: Set this to control the depth of subfolders to report as views.
    • FileRetrievalDepth: Set this to retrieve files recursively and list them in the Root table.
    Stored Procedures are available to download files, upload files, and send protocol commands. See gdatamodel for more on using SQL to interact with the server.

    Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab and update user-based permissions
  8. Updating permissions

Add a Personal Access Token

A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from Open WebUI. It is best practice to create a separate PAT for each integration to maintain granular access control.

  1. Click the gear icon () at the top right of the Connect AI app to open Settings
  2. On the Settings page, go to the Access Tokens section and click Create PAT
  3. Give the PAT a descriptive name and click Create
  4. Creating a new PAT
  5. Copy the token when displayed and store it securely. It will not be shown again

With the SFTP connection configured and a PAT generated, Open WebUI can now connect to SFTP data through Connect AI.

Step 2: Install Open WebUI and configure Connect AI MCP

Next, install Open WebUI locally and configure the Connect AI Remote MCP Server as a tool server so that the chat interface can discover and call live data tools through Connect AI.

  1. Install Open WebUI by following the official Quick Start guide
  2. Once the installation is complete, start Open WebUI and open it in your browser to access the chat interface
  3. Click your profile icon in the top right and select Admin Panel Opening the Admin Panel from the profile menu
  4. In the top navigation bar of the Admin Panel, click Settings Navigating to Admin Panel settings
  5. Select Integrations from the left menu, then click the icon next to Manage Tool Servers to add a new connection Adding a new tool server connection
  6. In the Add Connection panel, configure the server with the following values:
    • Type: MCP Streamable HTTP
    • Name: CData MCP, or any name of your choice
    • ID: cdata-mcp
    • URL: https://mcp.cloud.cdata.com/mcp
    • Auth: None
  7. Expand the Advanced section and paste the following JSON into the Headers field:
    {
        "Authorization": "Basic your_base64_encoded_email_PAT",
        "Content-Type": "application/json"
    }
    		

    Note: Open WebUI will use Basic authentication with Connect AI. Combine your Connect AI user email and the PAT you created earlier in the format email:PAT, base64 encode the combined string, and prefix it with Basic. For example, given [email protected]:ABC123...XYZ789, the Authorization header value becomes something like: Basic dXNlckBkb21haW4uY29tOkFCQzEyMy4uLlhZWjc4OQ==

    Configuring the Connect AI MCP Server in Open WebUI
  8. Click Save to register the tool server

Enable the MCP server and configure an LLM provider

Open WebUI requires at least one LLM provider to power the chat. Enable the MCP server from the chat input and configure an API key for your preferred provider so the model can interpret prompts and call MCP tools through Connect AI.

  1. Return to the chat interface, click the Integrations icon at the bottom of the chat input, select Tools, and toggle CData MCP on to expose the tools to the chat Enabling the CData MCP tool server in the chat input
  2. At the top of the chat, click the model selector and choose your preferred LLM provider and model. Add your provider API key when prompted so the model can be used in the chat

With the MCP server and an LLM provider configured, Open WebUI is ready to query live SFTP data through Connect AI.

Step 3: Query live SFTP data from Open WebUI

With the integration complete, use the Open WebUI chat input to interact with live SFTP data through natural language prompts handled by the configured LLM.

  1. With the CData MCP server enabled and a model selected, type a prompt in the chat input, for example:
    • List all catalogs in my cdata mcp
    • Show the available schemas and tables for SFTP
    • Query the top 5 records from a table in SFTP data
  2. Open WebUI calls the Connect AI MCP Server and returns live results from SFTP data Querying live data from Open WebUI

At this point, your Open WebUI instance communicates with the Connect AI MCP Server and retrieves live SFTP data through remote MCP tools directly from the chat interface.

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