AI is no longer just about intelligence— it’s now about understanding your business’s unique context. LLMs like OpenAI’s GPT-4 and Google’s Gemini lack built-in access to external data sources. If you ask them to verify the sum of orders in an SQLite database and match it with a PowerPoint presentation, the model alone can’t do it — it needs access to those files and databases.
This is where the Model Context Protocol (MCP) comes in. It bridges the gap by providing them with the necessary access to external data sources, such as databases and file systems. MCP allows them to interact with servers that provide tools, resources, and reflection capabilities, helping them handle complex queries.
Join Amit Jena, our AI/ML expert, for an exclusive webinar where we’ll dive deep into how MCP enhances AI agents and drives productivity for modern enterprises.
Amit Kumar Jena | Lead – AI/ML
Amit leads the AI team at Kanerika, where he develops practical strategies to help organizations implement AI solutions and maximize the value of their data assets. With extensive experience in Python development, Amit specializes in statistical modeling, machine learning, and natural language processing. His technical expertise includes data preparation methodologies, predictive analytics, and advanced regression techniques. Amit’s approach combines technical depth with business understanding, enabling him to translate complex AI concepts into measurable outcomes for enterprise clients.
Pedro Ferreira | Director, Channel Enablement at Concentric AI
Pedro specializes in building strategic partnerships and scaling cybersecurity solutions through trusted partners. With a background in the U.S. Marine Corps, he has worked with leading tech and cybersecurity firms like Set Solutions, Trace3, and Proofpoint. Pedro ensures every partnership aligns with the right technology and business needs.
Don’t miss out on the opportunity to see how MCP can transform your organization’s AI capabilities and drive productivity like never before.
Register for our webinar now!
The Key to Building Context-Aware AI Agents
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