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grep -l @mcp /news/*.json | wc -l → 1770

MCP

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sameAs · modelcontextprotocol.io

// recent coverage 1770 mentions

18:03
2026-08-03
dev.to
artificial-intelligence

Automating Data Pipelines with AI: A Practical Guide

AI-powered pipeline automation is emerging as a solution to the growing complexity of data pipelines, reducing development time by 60% and failures by 45%, according to a developer's guide. The approa…

17:43
2026-08-03
dev.to
artificial-intelligence

The DingTalk & Feishu AI Ecosystem: Guide Integration in

DingTalk and Feishu have evolved into central hubs for enterprise AI, with DingTalk's AI Assistant Platform and Feishu's Intelligent Partner enabling conversational BI deployment directly within their…

17:27
2026-08-03
dev.to
artificial-intelligence

MCP vs REST API vs GraphQL: A Complete Comparison Data

Enterprise data architecture is shifting as AI-native systems become standard, with the Model Context Protocol (MCP) joining REST and GraphQL as a critical integration layer. MCP, introduced by Anthro…

16:00
2026-08-03
adithyanak.com
ai-safety

How to Build an AI Agent Attack Graph with AgentHound

AgentHound 1.1.0, an open-source tool from GitHub user adithyan-ak, builds an AI agent attack graph from a single autonomous collection workflow, modeling MCP servers, A2A agents, credentials, hosts, …

12:41
2026-08-03
sixb.ai
ai-agents

Show HN: Sixb – the operating layer for enterprise AI

Sixb, an open-source framework for modeling the operational layer of a business, was released on Hacker News. It aims to connect AI assistants to company data, rules, permissions, and workflows, addre…

06:10
2026-08-03
dev.to
artificial-intelligence

Day 24/30: MCP Primitives Explained

A developer detailed the Model Context Protocol (MCP) primitives—tools, resources, and prompts—after debugging a LangGraph-based flight-booking agent that failed to match user preferences due to insuf…

04:32
2026-08-03
dev.to
artificial-intelligence

Stop Prompt Engineering, Start Context Engineering

A developer explains that the key to effective AI agents is context engineering rather than prompt engineering, detailing the observe-think-act loop and the importance of setting up context, memory, a…

01:35
2026-08-03
github.com
ai-agents

Show HN: Gnt, a company brain AI agents check before acting

Gnt, a new tool from gntai.dev, lets companies encode AI agent guardrails as git-native rule files that agents check over MCP before acting, returning allow, block, or needs_human verdicts. The rules …

01:30
2026-08-03
github.com
ai-agents

Trail – signed OpenTelemetry spans for AI agents

Trail, a new Python SDK, captures AI agent activity as signed OpenTelemetry spans, adding agent-aware tool taxonomy, MCP injection flagging, and skill hashing to detect silent substitution, while expo…

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