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World Congress 2025 • Aug 20, 2025 • Session details

Beyond Prompting: Building Scalable AI with Multi-Agent Systems and MCP

Viktoria Semaan

Are your single-model AI agents struggling with complex tasks? Discover how multi-agent orchestration and the Model Context Protocol unlock scalable, observable, and production-ready AI microservices.

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#1 about 4 min

Understanding large language models and token mechanics

Converting cross-modal inputs into vector tokens forms the core pattern matching mechanism of foundational models.

#2 about 2 min

Addressing context limits with retrieval augmented generation

Retrieving relevant data chunks from a vector database bypasses context window limitations and training base cutoffs.

#3 about 2 min

Moving beyond chat interfaces using intelligent agents

Providing models with tools and orchestrators enables multi-step reasoning workflows with built-in memory capabilities.

#4 about 2 min

Scaling complexity through multi-agent software architectures

Routing tasks through supervisory agents mitigates tool confusion and reduces latency in complex workflows.

#5 about 2 min

Connecting business context for scalable production integration

Connecting domain-specific workflows to enterprise data prevents production failures and embarrassing customer interactions.

#6 about 6 min

Evaluating point performance using custom metrics frameworks

Defining exact evaluation criteria instead of subjective checking ensures precise retrieval and mitigates systemic hallucinations.

#7 about 3 min

Standardizing tool integrations with the model context protocol

Modularizing custom tool developments through universal server protocols eliminates redundant integration coding across different ecosystems.

#8 about 6 min

Operating hybrid desktop and cloud workloads via local assistants

Linking remote managed server connections to a local chat interface automates cross-platform analytics and file generation operations.

#9 about 2 min

Overcoming architectural vulnerabilities in modular tool networks

Mitigating overlapping server functionalities and isolated security protocols prevents agent routing confusion across separate systems.

#10 about 1 min

Executing production workflows with free community editions

Testing managed tool configurations inside open development environments accelerates deployment readiness for production resources.

Matching moments

2:44 min

Understanding language models and autonomous executing agents

Chris Heilmann +2 · LIVE

4:56 min

Building agentic workflows using prompt engineering and language models

5:54 min

Standardizing agent interactions with the Web MCP proposal

Chris Heilmann +2 · LIVE

4:13 min

Developing agentic AI applications using Model Context Protocol

Cedric Clyburn Cedric Clyburn +1 · WWC 2025

1:44 min

Overview of the Model Context Protocol and its rapid adoption

Jan Curn Jan Curn · WWC Europe 2026

1:12 min

Enhancing conversational intent through modern large language models

Nathaniel Okenwa Nathaniel Okenwa · WWC 2025

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