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Building a database search tool: A hands-on with MCP
Latest   Machine Learning

Building a database search tool: A hands-on with MCP

Author(s): Arunabh Bora

Originally published on Towards AI.

Using Model Context Protocol for intelligent data retrieval and analysis from a SQLite databaseBuilding a database search tool: A hands-on with MCPPhoto by Jordan Harrison on Unsplash

In few words MCP is..

An open standard that enables AI models to connect to external tools, data sources, and APIs, allowing them to fetch real-time information and perform actions beyond their training data.

I will focus on one particular use case and explain how MCP can help us in help us bring it to life.

Architecture of the project — the project will have one MCP server and one data source, using Claude Desktop as a host

A drug dossier is a comprehensive set of documents submitted to a regulatory authority (like the US FDA, EMA, or CDSCO) for the approval of a new drug or generic drug. It provides scientific data about the quality, safety, and efficacy of the drug. The primary goal is to get marketing authorization for a drug.

The FDA’s Inactive Ingredients Database is a publicly available resource listing inactive ingredients that have been previously approved by the FDA for use in drug products. But though they’re called “inactive,” these ingredients can change the properties of the drug.

While preparing the drug dossier, one needs to go to the FDA’s official website and search for the ingredients one-by-one. Since there might be many inactive ingredients which… Read the full blog for free on Medium.

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