Topic
MCP
28 posts tagged “MCP”.
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Securing the Agentic Lakehouse Gateway: Preventing Prompt Injection and Data Exfiltration
A support agent is asked to summarize the last five tickets from a customer. It queries the tickets table through an MCP server connected to the…
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The Five Layers of an Agentic Lakehouse
Every architecture era gets its reference diagram. The warehouse era had its star schemas and its staging-to-mart flow. The big data era had its…
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Securing the Agentic Lakehouse Gateway: A Threat Model for Prompt Injection, Exfiltration, and the Firewall That Reads Sentences
My article on building stateless tool gateways ended with a promise deferred: the gateway is where agent traffic converges, which makes it where…
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Building Stateless AI Tool Gateways with FastMCP, the 2026 MCP Spec, and Kubernetes
The gap between an agent demo and an agent platform is an infrastructure gap, and it has a specific shape. The demo runs one MCP server on a laptop,…
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The Five Layers of an Agentic Lakehouse and Where the MCP Server Sits
Someone on your team connects an AI desktop client to a query engine, asks a question about last quarter, and gets an answer in fifteen seconds. It…
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Why Agentic AI Needs a Governed Semantic Layer Behind the Model Context Protocol
An executive asks an AI assistant what revenue looked like last quarter. The assistant writes SQL against the warehouse, sums an amount column, and…
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Moving From Supply Chain Dashboards to Decision Loops With the Model Context Protocol
A supply chain control tower shows a red tile. A supplier's on-time delivery rate dropped below threshold four days ago. The tile has been red for…
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Defending the Lakehouse Gateway Against Prompt Injection and Data Exfiltration
A support ticket contains a customer's message. Somewhere in that message is a sentence addressed to nobody who works at your company: ignore your…
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Wiring an AI Agent to Apache Polaris with the Model Context Protocol
An engineer opens Cursor, types "what tables do we have in the sales namespace, and which ones have a customerid column," and gets an answer in four…
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GSA MCP Servers for Open Data AI Agents
The U.S. government publishes hundreds of thousands of datasets through Data.gov and agency portals, and almost none of them are shaped for an AI…
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MCP Stateless Gateways for Data Agents
A Model Context Protocol server that holds session state in memory is a server you cannot scale by adding replicas. The moment one process remembers…
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The State of Agentic AI Standards in 2026: MCP, A2A, WebMCP, OSI, and the Protocol Stack Taking Shape
In 2023, an AI agent was a demo. In 2024, it was a framework. In 2025, it was a hundred incompatible frameworks. And in 2026, something genuinely new…
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Conversational AI on Managed Iceberg: Exposing Amazon S3 Tables through MCP
The most interesting part of conversational analytics is not the chat box. The chat box is just the surface area. The harder question is what happens…
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Designing Your Own AI Harness: A Deep Dive Into the Architecture of Agent Loops, Tools, Context, and Control
The most underappreciated finding in applied AI this year fits in one statistic: a major framework team took the same model, changed nothing about…
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The 2026-07-28 Model Context Protocol Release Candidate: What the Stateless Spec Means for Data Platforms
The date in this topic matters. Today is July 6, 2026. A release candidate dated July 28, 2026 is still in the future. That means this article should…
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Implementing MCP in the Lakehouse
MCP gives AI clients a standard way to call governed lakehouse tools instead of guessing how to query your data. That is the useful lens for MCP…
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Data Platform Native AI Agent Tooling in 2026
Every data platform vendor now offers some form of AI agent tooling. The approaches vary widely, from full agent authoring frameworks to MCP server…
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A Journey from AI to LLMs and MCP - 10 - Sampling and Prompts in MCP – Making Agent Workflows Smarter and Safer
Sampling and Prompts in MCP – Making Agent Workflows Smarter and Safer
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A Journey from AI to LLMs and MCP - 9 - Tools in MCP – Giving LLMs the Power to Act
Tools in MCP – Giving LLMs the Power to Act
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A Journey from AI to LLMs and MCP - 8 - Resources in MCP – Serving Relevant Data Securely to LLMs
Resources in MCP – Serving Relevant Data Securely to LLMs
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A Journey from AI to LLMs and MCP - 7 - Under the Hood – The Architecture of MCP and Its Core Components
Under the Hood – The Architecture of MCP and Its Core Components
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Journey from AI to LLMs and MCP - 6 - Enter the Model Context Protocol (MCP) – The Interoperability Layer for AI Agents
Enter the Model Context Protocol (MCP) – The Interoperability Layer for AI Agents
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A Journey from AI to LLMs and MCP - 5 - AI Agent Frameworks – Benefits and Limitations
AI Agent Frameworks – Benefits and Limitations
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A Journey from AI to LLMs and MCP - 4 - What Are AI Agents – And Why They're the Future of LLM Applications
What Are AI Agents – And Why They're the Future of LLM Applications
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A Journey from AI to LLMs and MCP - 3 - Boosting LLM Performance – Fine-Tuning, Prompt Engineering, and RAG
Boosting LLM Performance – Fine-Tuning, Prompt Engineering, and RAG
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A Journey from AI to LLMs and MCP - 2 - How LLMs Work – Embeddings, Vectors, and Context Windows
How LLMs Work – Embeddings, Vectors, and Context Windows
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A Journey from AI to LLMs and MCP - 1 - What Is AI and How It Evolved Into LLMs
What Is AI and How It Evolved Into LLMs
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Building a Basic MCP Server with Python
The Basics of Building a Basic MCP Server