How to Connect Flowise AI Agents to Live WooCommerce Data via CData Connect AI
Flowise AI is an open-source, no-code tool for building AI workflows and custom agents visually. Its drag-and-drop interface allows you to integrate large language models (LLMs) with APIs, databases, and external systems effortlessly.
CData Connect AI enables real-time connectivity to over 350+ enterprise data sources. Through its Model Context Protocol (MCP) server, CData Connect AI bridges Flowise agents with live WooCommerce securely and efficiently, no data replication required. By combining Flowise AI's intuitive agent builder with CData's MCP integration, users can create agents capable of fetching, analyzing, and acting upon live WooCommerce data directly within Flowise AI workflows.
This guide shows you how to connect Flowise AI to CData Connect AI MCP, set up credentials, and enable your agents to query live WooCommerce data in real time.
Step 1: Configure WooCommerce Connectivity for Flowise
Connectivity to WooCommerce from Flowise AI is made possible through CData Connect AI's Remote MCP Server. To interact with WooCommerce data from Flowise AI, we start by creating and configuring a WooCommerce connection in CData Connect AI.
- Log into Connect AI, click Sources, and then click Add Connection
- Select WooCommerce from the Add Connection panel
-
Enter the necessary authentication properties to connect to WooCommerce.
WooCommerce supports the following authentication methods: one-legged OAuth1.0 Authentication and standard OAuth2.0 Authentication.
Connecting using one-legged OAuth 1.0 Authentication
Specify the following properties (NOTE: the below credentials are generated from WooCommerce settings page and should not be confused with the credentials generated by using WordPress OAuth2.0 plugin):
- ConsumerKey
- ConsumerSecret
Connecting using WordPress OAuth 2.0 Authentication
- Navigate to the Permissions tab and update user-based permissions
Once the connection is established, WooCommerce data is now accessible in CData Connect AI and ready to be used with MCP enabled tools.
Add a Personal Access Token
A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from Flowise AI. It is best practice to create a separate PAT for each integration to maintain granular access control.
- Click the gear icon () at the top right of the Connect AI app to open Settings
- On the Settings page, go to the Access Tokens section and click Create PAT
- Give the PAT a descriptive name and click Create
- Copy the token when displayed and store it securely. It will not be shown again
With the WooCommerce connection configured and a PAT generated, Flowise AI can now connect to WooCommerce data through the CData MCP Server.
Step 2: Configure Connect AI credentials in Flowise AI
Log in to Flowise AI workspace to set up the integration.
Add OpenAI credentials
- Navigate to Credentials and choose Add Credential
- Select OpenAI API from the dropdown
- Provide a name (e.g., OpenAI_Key) and paste the API key
Add the PAT variable
- Navigate to Variables and Add Variable
- Set Variable Name (e.g., PAT), choose Static as type, and set the Value to Base64-encoded username:PAT
- Click Add to save the variable
Step 3: Build the agent in Flowise AI
- Go to Agent Flows, select Add New
- Click the "+" icon to add a new node and choose Agent and drag the agent to the workflow
- Connect the Start node to the Agent node
Configure agent settings
Double-click on the Agent node and fill in the details:
- Model: select ChatOpenAI or preferred model (e.g., gpt-4o-mini)
- Connect Credential: Select OpenAI API key credential which was created earlier
- Streaming: Enabled
Add the custom MCP tool
- Under Tools, click Add Tool and choose Custom MCP
- Fill in the JSON parameters as shown below:
{
"url": "https://mcp.cloud.cdata.com/mcp",
"headers": {
"Authorization": "Basic {{$vars.PAT}}"
}
}
Click the refresh icon to load available MCP actions. Once actions are listed, now Flowise agent is successfully connected to CData Connect AI MCP.
Step 4: Test and query live WooCommerce data in Flowise
- Open the Chat tab in Flowise
- Type a query such as "Show top 10 records from WooCommerce data table"
- Observe that responses are fetched in real time via the CData Connect AI MCP connection
With the workflow run completed, Flowise demonstrates successful retrieval of Salesforce data through the CData Connect AI MCP server, with the MCP Client node providing the ability to ask questions, retrieve records, and perform actions on the data.
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