Expose Any Data to AI Applications with an MCP Server Using Nexla

Unify Databases, SaaS Apps, and Vector Data into One MCP Server for AI Apps

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In this demo, learn how to expose any type of data to AI applications using a single MCP server. Instead of relying on siloed systems, you can unify structured and unstructured data across databases, SaaS platforms, and vector stores.

The walkthrough shows how to connect MySQL, BigQuery, and Pinecone, along with unstructured data like PDFs that are chunked and indexed for retrieval. With Nexla, these sources are transformed into governed data products that can be combined and exposed through an MCP server.

Once configured, the MCP server can be connected to AI applications, allowing them to query across all data sources, retrieve relevant information, and power intelligent workflows. This enables use cases like dashboards, semantic search, and unified data access without custom integrations.

Key takeaway: This example highlights how teams can consolidate diverse data types and make them instantly usable for AI-driven applications through a single MCP server. Build once and give AI applications seamless access to all your data without custom integrations.