Systems | Development | Analytics | API | Testing

A Developer's Guide to MCP Servers: Bridging AI's Knowledge Gaps

Have you ever asked an AI assistant to generate code for a framework it doesn't quite understand? Maybe it produces something that looks right, but the syntax is slightly off, or it uses deprecated patterns. The AI is working hard, but it lacks the specific context it needs to truly help you. The Model Context Protocol (MCP) was designed to bridge this knowledge gap by giving AI assistants access to domain-specific knowledge and capabilities they don't have built in.

Query Optimization Strategies for Database APIs: A Complete Technical Guide

Database performance is often the primary bottleneck in API-driven applications. Whether you're serving a mobile app, powering a microservices architecture, or exposing enterprise data through REST APIs, slow queries translate directly to poor user experience, increased infrastructure costs, and system scalability challenges. This guide explores proven query optimization strategies that development teams can implement to dramatically improve API performance.

Sales Leaders: Turn Intuition into Impact #OnTheSpot with Spotter

Sales Leaders: Are you making decisions based on data, or just a "gut feeling"? If you want to move faster, you need to see this. James Smith, our SVP of EMEA, is demonstrating a hashtag#wowmoment that turns a vague intuition on SDR pipeline progression into a multi-million dollar revenue roadmap using Spotter.

Can We Still Trust the Code? #speedscale #qualityassurance #digitaltwin #trust #devops

The "Velocity Gap" is real. AI like Claude and GitHub Copilot are pumping out code faster than ever, but there’s a catch: Engineers don't trust it yet. We’re moving away from the old days of "clicking around" in a test environment, but how do we verify code at the speed of light? Ken breaks down why the future of QA isn't just "testing," it’s simulation. Video collab with @ScottMooreConsultingLLC Learn More: speedscale.com.

Build Agentic Workflows: Expose API Orchestration as MCP Tools with Kong AI Gateway

Learn how to expose an API orchestration workflow as an MCP server using Kong AI Gateway, configure semantic guardrails, and build an agent with the Volcano SDK. We onboard GPT-4 behind /llm, orchestrate with DataKit, and debug MCP tools in Insomnia—end-to-end without adding server code.

The Fastest Way to Generate SmartBear-Ready OpenAPI Specs from Real Backend Systems | DreamFactory

Executive Summary: Organizations spend weeks or months manually reverse-engineering legacy databases into OpenAPI specifications before they can leverage SmartBear's powerful API toolchain. DreamFactory eliminates this bottleneck entirely.

How DreamFactory Accelerates SOC 2 Compliance with Secure API Management

DreamFactory is a secure, self-hosted enterprise data access platform that provides governed API access to any data source, connecting enterprise applications and on-prem LLMs with role-based access and identity passthrough. Organizations working toward SOC 2 compliance face a familiar set of challenges: inconsistent access controls, fragmented data access security, noisy or incomplete logs, risky custom integrations, and difficulty proving governance during an audit.