Create an MCP Server for AI Apps with Multi-System Data Access with Nexla

Connect Databases and APIs into One Unified MCP Server for AI Applications

Book a Custom Demo

In this demo, learn to create a custom MCP server that unifies data across multiple systems and makes it accessible to AI applications. Instead of relying on a single SaaS provider, you can connect databases, APIs, and external data sources into one centralized MCP server.

The walkthrough shows how to pull data from MySQL tables, enrich it with external APIs like the US Census, and create reusable data products. With Nexla, these datasets are transformed into governed data products that can be exposed as tools through an MCP server.

Once created, the MCP server can be connected to AI applications, like Claude Code, enabling them to query, combine, and analyze data across systems in real time. This allows you to ask complex questions, such as comparing customer income with regional data, without building custom integrations.

Key takeaway: This example highlights how teams can simplify data access, unify sources, and power AI workflows through a single MCP interface. Build a single MCP server that gives AI applications access to data across databases and APIs without custom integrations. Instead of stitching systems together manually, you can unify, query, and combine data from multiple sources in one place.