How to Connect to Live SAP Data in n8n Workflows and Agents (via CData Connect AI)

n8n is an open-source workflow automation tool that allows you to connect various applications and services to automate tasks and processes. When combined with CData Connect AI Remote MCP, you can leverage n8n to interact with your SAP data in real-time. This article outlines the process of connecting to SAP using Connect AI Remote MCP and creating a basic workflow in n8n to interact with your SAP data.

CData Connect AI offers a dedicated cloud-to-cloud interface for connecting to SAP data. The CData Connect AI Remote MCP Server enables secure communication between n8n and SAP. This allows you to ask questions and take actions on your SAP data using n8n, all without the need for data replication to a natively supported database. With its inherent optimized data processing capabilities, CData Connect AI efficiently channels all supported SQL operations, including filters and JOINs, directly to SAP. This leverages server-side processing to swiftly deliver the requested SAP data.

In this article, we show how to build a simple chat agent in n8n to conversational explore (or Vibe Query) your data. The connectivity principals apply to any n8n workflow. With Connect AI you can build workflows and agents with access to live SAP data, plus hundreds of other sources.

Getting Started

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Step 1: Configure SAP Connectivity for n8n

Connectivity to SAP from n8n is made possible through CData Connect AI Remote MCP. To interact with SAP data from n8n, we start by creating and configuring a SAP connection in CData Connect AI.

1. Log into Connect AI, click Sources, and then click Add Connection

2. Select "SAP" from the Add Connection panel

3. Enter the necessary authentication properties to connect to SAP.

   The Java edition supports connecting to an SAP system using the JCo .jar file. See the "Getting Started" chapter in the help documentation for information on using the Jco JAR file.

   The Windows edition supports connecting to SAP systems using either the librfc32.dll, the librfc32u.dll, NetWeaver, or Web Services (SOAP). Set the ConnectionType connection property to CLASSIC (librfc32.dll), CLASSIC_UNICODE (librfc32u.dll), NETWEAVER, or SOAP.

   Note: We do not distribute the librfc32.dll or other SAP assemblies. You must find them from your SAP installation and install them on your machine.

   All versions of Sync support connecting to an SAP system using Web services (SOAP). If you are using the SOAP interface you must enable SOAP access to your SAP system and set the Client, RFCUrl, SystemNumber, User, and Password properties, under the Authentication section. Additionally, set the ConnectionType to SOAP.

   See this guide on obtaining the connection properties needed to connect to any SAP system.

   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add SAP Connection page and update the User-based permissions.

Add a Personal Access Token

A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from n8n. It is best practice to create a separate PAT for each service to maintain granularity of access.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create.
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, we are ready to connect to SAP data from n8n.

Step 2: Connect n8n to CData Connect AI

Follow these steps to connect to CData Connect AI in n8n:

1. Sign in to n8n.io or create a new account.
2. Create a Workflow in n8n that uses the MCP Client tool. The example Workflow below acts as a chatbot. OpenAI was used as the Chat Model, and Simple Memory was used for the Memory.
3. Configure the MCP Client node in the Workflow:
   • Set Endpoint to https://mcp.cloud.cdata.com/mcp (found in the "Connect Data to AI" ribbon in Connect AI)
   • Set Server Transport to HTTP Streamable
   • Set Authentication to Header Auth and set the following properties to use Basic authentication:
     • Set Name to Authorization
     • Set Value to Basic EMAIL:PAT, replacing the EMAIL and PAT with your Connect AI email address and the PAT created previously. For example: Basic [email protected]:Uu90pt5vEO..."
     
   

Optional Step: Give the AI Agent context

This step establishes the AI Agent's role and provides context for the conversation through the System Message parameter in the AI Agent node. By providing a system message that explicitly informs the agent about its role as an MCP Server expert and lists the available tools, you can enhance the agent's understanding and response accuracy. For example, you can set the System Message to:

You are an expert at using the MCP Client tool connected which is the CData Connect AI MCP Server. Always search thoroughly and use the most relevant MCP Client tool for each query. Below are the available tools and a description of each:
queryData: Execute SQL queries against connected data sources and retrieve results. When you use the queryData tool, ensure you use the following format for the table name: catalog.schema.tableName
getCatalogs: Retrieve a list of available connections from CData Connect AI. The connection names should be used as catalog names in other tools and in any queries to CData Connect AI. Use the `getSchemas` tool to get a list of available schemas for a specific catalog.
getSchemas: Retrieve a list of available database schemas from CData Connect AI for a specific catalog. Use the `getTables` tool to get a list of available tables for a specific catalog and schema.
getTables: Retrieve a list of available database tables from CData Connect AI for a specific catalog and schema. Use the `getColumns` tool to get a list of available columns for a specific table.
getColumns: Retrieve a list of available database columns from CData Connect AI for a specific catalog, schema, and table.
getProcedures: Retrieve a list of stored procedures from CData Connect AI for a specific catalog and schema
getProcedureParameters: Retrieve a list of stored procedure parameters from CData Connect AI for a specific catalog, schema, and procedure.
executeProcedure: Execute stored procedures with parameters against connected data sources
  

Step 3: Explore Live SAP Data with n8n

With the Workflow created in n8n and the MCP Client connected, you can now interact with your SAP data using n8n. The MCP Client node allows you to send queries and receive responses from the SAP data source in real-time.

Open the Workflow in n8n and execute it to start interacting with your SAP data. You can ask questions, retrieve data, and perform actions on your SAP data using the MCP Client node:

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