Recorded webinar

Bringing structural biology to AI: exploring the PDBe MCP servers

Artificial intelligence is rapidly changing how researchers discover and interact with scientific data. In this webinar, we will introduce the PDBe MCP (Model Context Protocol) servers and demonstrate how they enable AI assistants and applications to securely access and interact with structural biology data from the Protein Data Bank in Europe (PDBe). Rather than focusing on implementation details, the session will explore the broader vision behind MCP, the capabilities offered by the PDBe MCP servers, and how they can help researchers, developers, and bioinformatics communities build more intuitive, AI-powered scientific workflows. 

The webinar will also include practical examples of how these tools can make structural biology data more accessible and actionable. The PDBe MCP servers provide access to PDBe APIs, PDBe Graph data, and search capabilities through the Model Context Protocol, allowing AI tools to work directly with structural biology resources.

Who is this course for?

This webinar is suitable for structural biologists and life science researchers, bioinformaticians and computational biologists, AI and software developers interested in scientific applications, data scientists working with biological data, or anyone interested in AI-assisted access to open scientific resources.

Outcomes

By the end of this webinar, participants will be able to:

  • Describe what Model Context Protocol (MCP) is and why it is becoming an important standard for AI-enabled scientific tools
  • Explain how the PDBe MCP servers connect AI assistants with structural biology data and services
  • Identify potential applications of PDBe MCP servers in research, education, and bioinformatics workflows

DOI_disc_logo DOI: 10.6019/TOL.pdbe-mcp-server-w.2026.00001.1

EBI Resources

title
Duration: 00:52:09
9 September 2026
Online
Free
Contact
Ajay Mishra

Organisers

Speakers

Creative Commons

All materials are free cultural works licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, except where further licensing details are provided.


Share this event with: