​As AI agents become more capable, their real-world performance increasingly depends on how well they can coordinate tools.

​This month's paper:

​LiveMCP-101: Stress Testing and Diagnosing MCP-enabled Agents on Challenging Queries

​introduces a benchmark designed to rigorously test how AI agents handle multi-step tasks using the Model Context Protocol (MCP) — the emerging standard for tool integration.

​The authors present 101 carefully curated real-world queries, refined through iterative LLM rewriting and human review, that challenge models to coordinate multiple tools such as web search, file operations, mathematical reasoning, and data analysis

​What we’ll cover:

• ​How LiveMCP-101 benchmarks real-world tool use and multi-step reasoning

• ​Insights from the paper’s experiments and error analysis

• ​Key failure modes in current agent architectures

• ​Practical lessons for building more reliable, MCP-enabled systems

​📅 Date: October 23rd

​🕚 Time: 11amET

​Speakers:

David DeStefano (Lead Staff Software Engineer (Data/ML/AI Platform @EvolutionIQ)

Sophia Skowronski : Data Scientist, Breckinridge Capital Advisors

Valdimar Ágúst Eggertsson: AI Development Team Lead, Snjallgögn (Smart Data Inc.)

​Moderator
Arthur Coleman: CEO, OnlineMatters Inc.

​Join the #reading-group channel in the MLOps Community Slack to connect before and after the session.