Use Manus AI to Talk to Your SQL Analysis Services Data via CData Connect AI

Manus AI is an autonomous AI agent platform that helps users accomplish complex tasks through natural language from browsing the web to executing code and interacting with external services. When combined with CData Connect AI remote MCP, users can leverage Manus AI to interact with their SQL Analysis Services data in real-time, without any data replication.

This article explains how to connect to SQL Analysis Services using the CData Connect AI MCP Server and configure Manus AI to conversationally explore (or Vibe Query) their SQL Analysis Services data. With Connect AI, users can build AI agents with access to live SQL Analysis Services data, plus hundreds of other sources.

Step 1: Configure SQL Analysis Services connectivity for Manus AI

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

1. Log into Connect AI, click Connections and click Add Connection 👁 Adding a Connection
   
2. Select "SQL Analysis Services" from the Add Connection panel 👁 Selecting a data source
   
3. Enter the necessary authentication properties to connect to SQL Analysis Services.

   To connect, provide authentication and set the Url property to a valid SQL Server Analysis Services endpoint. You can connect to SQL Server Analysis Services instances hosted over HTTP with XMLA access. See the Microsoft documentation to configure HTTP access to SQL Server Analysis Services.

   To secure connections and authenticate, set the corresponding connection properties, below. The data provider supports the major authentication schemes, including HTTP and Windows, as well as SSL/TLS.

   • HTTP Authentication

     Set AuthScheme to "Basic" or "Digest" and set User and Password. Specify other authentication values in CustomHeaders.

   • Windows (NTLM)

     Set the Windows User and Password and set AuthScheme to "NTLM".

   • Kerberos and Kerberos Delegation

     To authenticate with Kerberos, set AuthScheme to NEGOTIATE. To use Kerberos delegation, set AuthScheme to KERBEROSDELEGATION. If needed, provide the User, Password, and KerberosSPN. By default, the data provider attempts to communicate with the SPN at the specified Url.

   • SSL/TLS:

     By default, the data provider attempts to negotiate SSL/TLS by checking the server's certificate against the system's trusted certificate store. To specify another certificate, see the SSLServerCert property for the available formats.

   You can then access any cube as a relational table: When you connect the data provider retrieves SSAS metadata and dynamically updates the table schemas. Instead of retrieving metadata every connection, you can set the CacheLocation property to automatically cache to a simple file-based store.

   See the Getting Started section of the CData documentation, under Retrieving Analysis Services Data, to execute SQL-92 queries to the cubes.

   👁 Configuring a connection (Salesforce is shown)
   Click Save & Test
4. Navigate to the Permissions tab in the Add SQL Analysis Services Connection page and update the User-based permissions. 👁 Updating permissions
   

Add a Personal Access Token

A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from Manus AI. 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. 👁 Creating a new PAT
   
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 SQL Analysis Services data from Manus AI.

Step 2: Get started with Manus AI

Navigate to Manus and sign in to your Manus AI account. Once logged in, you are ready to configure the CData Connect AI MCP Server as a custom connector.

Step 3: Add the CData Connect AI MCP Server as a connector

Manus AI supports connecting to external MCP servers via its Connectors settings. There are two methods to add the CData Connect AI MCP Server: Import by JSON or Direct Configuration. Both methods are explained below.

1. In Manus AI, click on the profile icon and navigate to Settings 👁 Navigating to Manus AI settings
   
2. Go to the Connectors section and click Add Connectors 👁 Navigating to Custom MCP connectors
   
3. Locate Custom MCP 👁 Click Custom MCP
   
4. Click Add custom MCP to select the configuration options 👁 Add custom MCP
   

Option A: Import by JSON

Use this method to quickly configure the MCP Server by pasting a JSON configuration snippet.

1. Select Import by JSON from the connector setup options.
2. Paste the following JSON into the configuration field, replacing the placeholder values with your Connect AI credentials:

   {
    "mcpServers": {
    "cdata-connect-ai": {
    "transport": "sse",
    "url": "https://mcp.cloud.cdata.com/mcp",
    "headers": {
    "Authorization": "Basic USER_NAME:YOUR_CONNECTAI_PAT;"
    }
    }
    }
   }
    

   Replace url with the Connect AI MCP URL, USER_NAME with your Connect AI email address, and YOUR_CONNECTAI_PAT with the Personal Access Token created in Step 1. 👁 Importing MCP configuration via JSON in Manus AI
   
3. Click Import to apply the configuration.

Option B: Direct Configuration

Use this method to manually enter the MCP Server connection properties through the Manus AI interface.

1. Select Direct Configuration from the connector setup options.
2. Fill in the following fields:
   • Server Name: CData Connect AI
   • Transport Type: HTTP
   • Server URL: https://mcp.cloud.cdata.com/mcp
   • Custom Headers: Add a header with the name Authorization and the value Basic Base64Encoded(username:pat), replacing the placeholder with your Base64-encoded Connect AI email and PAT combination.
   👁 Configuring the CData Connect AI MCP Server directly in Manus AI
   
3. Optionally, enter a Note to provide Manus AI with instructions on how and when to use this MCP connector.
4. Click Save to establish the connection to the CData Connect AI MCP Server. Once saved, the connector will appear as active in your Connectors list.

Step 4: Query your SQL Analysis Services data using natural language

With the CData Connect AI MCP configured in Manus AI, users can now interact with their SQL Analysis Services data using natural language in any new Manus AI chat session.

1. Open a new chat in Manus AI.
2. Start asking questions about the SQL Analysis Services data. For example:
   • Show me all customers from the last 30 days
   • What are my top performing products?
   • Analyze sales trends for Q4
   • List all active projects with their current status
3. Manus AI will use the CData Connect AI MCP Server to query your SQL Analysis Services data in real-time and provide responses based on live data. 👁 Chatting with live data in Manus AI
   

Get CData Connect AI

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