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Understanding Security in MCP

Security within the Model Context Protocol (MCP) presents a dual challenge. It requires addressing both traditional web vulnerabilities and a new class of threats specific to AI agents. As MCP standardizes how agents interact with external tools and data, it inevitably creates new attack surfaces that demand a comprehensive, defense-in-depth security strategy. Properly securing an …

Article

The Practical Guide to MCP Server Adoption

This framework helps you figure out whether MCP servers are right for your specific use case by systematically checking eight critical constraint categories. Each constraint gets scored, and the combined assessment guides your decision, a true compatibility test for you and MCP. The eight constraint categories What’s included in this framework Constraint assessment matrix For …

Article

The Agentic Intention Framework

Introduction: The paradox of building with AI in the loop As modern software engineers, we’re trained in the agile way: ship fast, iterate based on feedback, let design emerge. We start minimal and evolve based on what we learn from users. But architecting robust, performant, and useful MCP servers demands the opposite: with LLMs in …

Article

The Agentic Intention Framework In Practice

Overview: Who, what and why WHO will use the framework: WHAT are the components of the framework: A structured framework that transforms vague AI agent ideas into precise, measurable workflow definitions by eliciting explicit answers to critical questions before development begins: Framework constraints WHY use the framework: Achieve higher adoption rates for agentic tools and …

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Making API Catalogs AI native with MCP

Most enterprises maintain API catalogs with documentation, specs, reference guides and more that is designed for human consumption. What happens when developers need their AI copilots to discover, understand and interact with APIs? Ross Kukulinski from Kong showed us how to use MCP servers to enable AI agents to conversationally explore available APIs.

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Putting MCP into Context: What it is and Why it Matters

The first session at MCP Academy was an important opportunity to get the entire audience aligned on a definition of the protocol and its potential. Eleftheria Stein-Kousathana from Stacklok set the tone with a clear outline of the Model Context Protocol.

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Building MCP Ecosystems that Connect to Governed Data

There’s a joke that the ‘S’ in MCP stands for security. Working out how to build the right security controls is a critical obstacle for many production deployments. Jai Behl and Satish Sheth from Databricks share ideas and examples that make it real.

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Overcoming MCP Deployment Hurdles with Standardized Solutions

A lot of enterprises are experimenting with MCP, while a brave through are putting it into production. Harish Gaggar shares how Credit Karma constructed the necessary connectors and security guardrails to apply MCP in a regulated industry.

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Building a Virtual MCP Server to Unlock New Tool Groupings

The MCP spec calls for a 1-to-1 relationship between client and server; however, there are situations where you need multiple tools from multiple MCP servers to complete a task. Dave Dixon from Credit Karma is pushing for a solution.

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Exploring Observability with MCP Servers

One of the hot button topics when it comes to MCP is observability. Sure, MCP can introduce new observability challenges, but it might also be able to resolve some long-standing observability issues. One of the more popular MCP servers is from Grafana, and Tiffany Jernigan showed the audience how to put it to work.

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