Tag: MCP

2026-08-04 • Alex Merced

The Five Layers of an Agentic Lakehouse and Where the MCP Server Sits

The five layers of an agentic lakehouse and where the MCP server sits: storage, catalog, semantic layer, MCP gateway, an...

2026-08-04 • Alex Merced

Why Agentic AI Needs a Governed Semantic Layer Behind the Model Context Protocol

Why agentic AI needs a governed semantic layer behind the Model Context Protocol: metric consistency, access control, Ap...

2026-08-04 • Alex Merced

Moving From Supply Chain Dashboards to Decision Loops With the Model Context Protocol

Moving from supply chain dashboards to decision loops with MCP: sense, decide, act, and verify, with typed action tools,...

2026-08-04 • Alex Merced

Defending the Lakehouse Gateway Against Prompt Injection and Data Exfiltration

Defending the lakehouse gateway against prompt injection and data exfiltration: per-user identity, no-SQL tool surfaces,...

2026-07-28 • Alex Merced

Wiring an AI Agent to Apache Polaris with the Model Context Protocol

The catalog is the right attachment point for AI agents working against a lakehouse. Here's how to wire the official Pol...

2026-07-13 • Alex Merced

GSA MCP Servers for Open Data AI Agents

An in-depth exploration of gsa mcp servers for open data ai agents...

2026-07-13 • Alex Merced

MCP Stateless Gateways for Data Agents

An in-depth exploration of mcp stateless gateways for data agents...

2026-07-06 • Alex Merced

Designing Your Own AI Harness: A Deep Dive Into the Architecture of Agent Loops, Tools, Context, and Control

A deep dive into custom AI harness architecture: model layers, tool design, context management, permissions, control bud...

2026-07-06 • Alex Merced

The State of Agentic AI Standards in 2026: MCP, A2A, WebMCP, OSI, and the Protocol Stack Taking Shape

The agentic AI protocol stack is solidifying in 2026 — MCP for tools, A2A for agents, WebMCP for the web, OSI for semant...

2026-05-31 • Alex Merced

Data Platform Native AI Agent Tooling in 2026

A comprehensive comparison of AI agent tooling across Dremio, Snowflake, Databricks, Microsoft Fabric, AWS, Google Cloud...

2025-04-14 • Alex Merced

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...

2025-04-13 • Alex Merced

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...

2025-04-12 • Alex Merced

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...

2025-04-11 • Alex Merced

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...

2025-04-10 • Alex Merced

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...

2025-04-09 • Alex Merced

A Journey from AI to LLMs and MCP - 5 - AI Agent Frameworks – Benefits and Limitations

AI Agent Frameworks : Benefits and Limitations...

2025-04-08 • Alex Merced

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...

2025-04-07 • Alex Merced

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...

2025-04-06 • Alex Merced

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...

2025-04-05 • Alex Merced

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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