The Best MCP Servers and LLMs for MS SQL Server | DreamFactory
Combining MCP Servers and LLMs with MS SQL Server simplifies database management with natural language queries, automation, and robust security. Here’s what you need to know.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Create a Multi-Location Dashboard in Just 3 Prompts: Claude + Databox MCP
See the Databox Model Context Protocol (MCP) in action inside Claude. In this video, we use just three simple prompts to pull Google Business Profile data across 8 different business locations and instantly generate a beautiful, executive-ready HTML dashboard. Instead of manually logging into multiple accounts and copying data into spreadsheets, we use the Databox MCP inside Claude to: Fetch Data Instantly: Claude automatically gathers impressions, clicks, and calls for every single business location through the MCP, comparing current vs. previous month data without any manual exports.
AI software testing tools: What actually works
The right AI tools make all the difference in QA testing AI has officially entered every corner of software testifng. The hard part now is figuring out which tools and features actually save time, speed releases, and (most importantly) improve quality outcomes. According to a recent survey from Test Guild, 72.8% of testers are prioritizing AI-powered QA for 2026. This includes tools that handle test planning, test management, test writing, and even analyzing test results. Contents Toggle.
Speedscale Launches proxymock OpenClaw Skill on ClawHub
We’re excited to announce that Speedscale’s proxymock is now available as an OpenClaw skill on ClawHub, bringing powerful API traffic replay capabilities directly into your Claude workflows.
Qlik MCP - Quick Demo
A quick demo of simple scenatio using Qlik MCP Server and Anthropic Claude as the LLM AI client. Where you should go next.
Using Agentic Frameworks to Build New AI Services
The original promise of AI was that it would write most of the code for us. In reality, we’re not there yet. So where can AI meaningfully improve developer productivity today? In this post, we look at how AI powers development productivity across the SDLC, practical tools to use and frameworks for overcoming AI operationalization bottlenecks.
AI Bots and Social Feedback Loops: Who Is Testing This?
Over the past few weeks, an unusual experiment has been unfolding quietly and then very publicly.
Automate Qlik App Dev with Snowflake Cortex Code (GA) + MCP | AI Demo
See how to supercharge analytics development with Snowflake’s Cortex Code (CoCo) and Qlik’s Model Context Protocol (MCP). In this demo, we auto-generate master dimensions and measures for the Qlik app using AI—showing how Qlik and Snowflake work together to accelerate trusted analytics. What you’ll learn: Perfect for data engineers, BI developers, and analytics leaders who want to move from raw data to reliable insight—faster.
Transforming Customer Support with an AI-Powered Troubleshooting Agent
A global leader in entertainment, gaming, and hospitality partnered with WSO2 to take the organization’s first step to becoming an agentic enterprise by building an intelligent solution that would transform how support teams operate. The solution, a virtual support engineer, automated a manual issue resolution process and reduced resolution times from 2 hours to 1 minute, helping to provide a better support experience for both customers and internal operations teams alike.
Don't DIY Your AI: How MDaudit Scaled Smarter with ThoughtSpot
@MDauditSoftware did it by swapping "data babysitting" for ThoughtSpot. After 6 years, they’ve unlocked a "shadow workforce" that handles the tech so the team can focus on growth. The Result: Total operational independence Zero maintenance, more innovation Strategic agility at scale Stop DIY-ing your AI.