Talk Beginner

Implementing an MCP Server for DBMS — YDB’s Experience

Rejected

Session Description

Discover how YDB leverages the Model Context Protocol (MCP) to bridge AI models with database systems. This session delves into the development of a Python-based MCP server that enables seamless interactions between large language models and YDB’s open-source Distributed SQL DBMS. Learn about the design decisions, challenges faced, and the practical benefits of integrating MCP into data architecture. Ideal for developers and AI practitioners aiming to enhance AI capabilities with direct database access.

Key Takeaways

How to use Model Context Protocol (MCP) for integrating an open-source project with arbitrary Large Language Models (LLM)

References

https://github.com/ydb-platform/ydb

https://github.com/ydb-platform/ydb-mcp

Session Categories

Introducing a FOSS project or a new version of a popular project

Technology architecture

Which track are you applying for?

Main track

Speakers

Ivan Blinkov VP, Product and Open-Source | YDB

Ivan Blinkov is a seasoned technical leader specializing in data storage and processing. Over the last decade, he was involved in the development of several database management systems, two of which are open-source: ClickHouse in the past and, currently, YDB.

https://www.linkedin.com/in/ivanblinkov/