MCP vs API: What’s the Difference for AI Agents?
The Model Context Protocol (MCP) is a standardized architecture allowing AI models to discover and call external tools at runtime.…
Strategic insights on Unified APIs, AI agents, and the future of B2B SaaS integrations.

Building a Gong API integration requires generating credentials, managing rate limits, and handling cursor-based pagination. Engineers interact directly with the Gong API documentation to sync meeting metadata and download transcripts. You construct requests to specific endpoints and build custom logic to parse the resulting conversational data. Key Takeaways Concept Implementation Detail Authentication Combine Access Key […]
The Model Context Protocol (MCP) is a standardized architecture allowing AI models to discover and call external tools at runtime.…
AI workflow automation is the process of using artificial intelligence to handle unstructured data and execute API-level routing decisions. For…
Agentic iPaaS is a cloud-based integration platform that uses artificial intelligence to autonomously write connection code, map data schemas, and…
An AI integration platform is a software infrastructure that connects different systems using artificial intelligence. These platforms either provide execution…
Key Takeaways Core Definition: An HRIS integration links B2B SaaS applications to Human Resource Information Systems, enabling automated bidirectional sync…
Data integration platform vs. unified API: not the same thing. See the real difference, a side-by-side comparison, and how to…
Most "best embedded iPaaS" guides are written by the vendor ranking itself #1. This one cross-checks all seven against each…
Knit is a unified API with zero data storage, covering 150+ apps across 13 categories — SOC 2 Type II,…
A detailed 2026 evaluation of Nango as an integration platform — covering the code-first architecture, self-hosting infrastructure requirements, pricing tiers,…
Loading more articles…
You've reached the end — that's every Insights article.