Tag: MCP
All the articles with the tag "MCP".
- 21 MIN READ•Aug 4, 2026
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, and agent surface, plus identity, session isolation, and budgets.
AI AgentsMCPAgentic Lakehouse - 21 MIN READ•Aug 4, 2026
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, Apache Ossie for portable definitions, and Apache Polaris for enforcement.
AI AgentsMCPSemantic Layer - 21 MIN READ•Aug 4, 2026
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, idempotency keys, and graduated human approval.
AI AgentsMCPSupply Chain - 21 MIN READ•Aug 4, 2026
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, volume bounds, and detection in query behavior.
AI AgentsPrompt InjectionSecurity - 31 MIN READ•Jul 28, 2026
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 Polaris MCP Server and add the read path it deliberately leaves out.
Apache IcebergMCPAI Agents - 18 MIN READ•Jul 13, 2026
GSA MCP Servers for Open Data AI Agents
An in-depth exploration of gsa mcp servers for open data ai agents
MCPGovernmentAI Agents - 17 MIN READ•Jul 13, 2026
MCP Stateless Gateways for Data Agents
An in-depth exploration of mcp stateless gateways for data agents
MCPData GatewaysAI Agents - 29 MIN READ•Jul 6, 2026
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 semantics, payments, identity, and security.
Apache Icebergdata engineeringlakehouse architecture - 18 MIN READ•Jul 6, 2026
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 happe...
conversational aiamazon s3 tablesmcp - 26 MIN READ•Jul 6, 2026
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 budgets, persistence, orchestration, and evaluation systems.
AI agentsagent architectureMCP - 16 MIN READ•Jul 6, 2026
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 shou...
model context protocolmcpdata platforms - 15 MIN READ•Jun 8, 2026
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.
lakehousesemantic layerdata governance