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Cursor is an AI-powered code editor that embeds conversational and agent-style assistance alongside your development workflow. By extending Cursor with MCP (Model Context Protocol) tools, you can give its AI agents secure access to external systems such as APIs and databases.
Integrating Cursor with CData Connect AI via the built-in MCP server allows the editor's AI to query, analyze, and act on live SAP SuccessFactors data without copying data into the IDE. The result is a development experience where you can chat with your governed enterprise data directly from Cursor.
This article outlines how to configure SAP SuccessFactors connectivity in Connect AI, generate the required access token, register Connect AI's MCP Server in Cursor, and then use the AI chat pane to explore live SAP SuccessFactors data.
Connectivity to SAP SuccessFactors from Cursor is made possible through CData Connect AI's Remote MCP Server. To interact with SAP SuccessFactors data from Cursor, start by creating and configuring a SAP SuccessFactors connection in CData Connect AI.
You can authenticate to SAP Success Factors using Basic authentication or OAuth with SAML assertion.
You must provide values for the following properties to successfully authenticate to SAP Success Factors. Note that the provider will reuse the session opened by SAP Success Factors using cookies. Which means that your credentials will be used only on the first request to open the session. After that, cookies returned from SAP Success Factors will be used for authentication.
You must provide values for the following properties, which will be used to get the access token.
A Personal Access Token (PAT) is used to authenticate the connection to Connect AI from Cursor. It is best practice to create a separate PAT for each integration to maintain granular access control.
With the SAP SuccessFactors connection configured and a PAT generated, Cursor can now connect to SAP SuccessFactors data through Connect AI.
Next, configure Cursor to use Connect AI. Cursor reads MCP configuration from an mcp.json file in the user configuration directory and exposes the registered servers under the Tools & MCP settings. Once configured, Cursor's AI chat can call the tools exposed by CData Connect AI.
{
"mcpServers": {
"cdata-mcp": {
"url": "https://mcp.cloud.cdata.com/mcp",
"headers": {
"Authorization": "Basic your_base64_encoded_email_PAT"
}
}
}
}
π Configuring mcp.json with Connect AICursor is now fully integrated with the CData Connect AI MCP Server and can act on live SAP SuccessFactors data directly from the editor.
To access hundreds of SaaS, Big Data, and NoSQL sources directly from your development tools, try CData Connect AI today!
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