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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 MongoDB 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 MongoDB 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 MongoDB data.
Accessing and integrating live data from MongoDB has never been easier with CData. Customers rely on CData connectivity to:
MongoDB's flexibility means that it can be used as a transactional, operational, or analytical database. That means CData customers use our solutions to integrate their business data with MongoDB or integrate their MongoDB data with their data warehouse (or both). Customers also leverage our live connectivity options to analyze and report on MongoDB directly from their preferred tools, like Power BI and Tableau.
For more details on MongoDB use case and how CData enhances your MongoDB experience, check out our blog post: The Top 10 Real-World MongoDB Use Cases You Should Know in 2024.
Connectivity to MongoDB from Cursor is made possible through CData Connect AI's Remote MCP Server. To interact with MongoDB data from Cursor, start by creating and configuring a MongoDB connection in CData Connect AI.
Set the Server, Database, User, and Password connection properties to connect to MongoDB. To access MongoDB collections as tables you can use automatic schema discovery or write your own schema definitions. Schemas are defined in .rsd files, which have a simple format. You can also execute free-form queries that are not tied to the schema.
π Configuring a connection (Salesforce is shown)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 MongoDB connection configured and a PAT generated, Cursor can now connect to MongoDB 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 MongoDB 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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