Best AI agent integration platforms to consider in 2025

AI agent integration platforms are crucial for connecting agents to external APIs reliably and efficiently, and choosing the right platform impacts factors like scalability, latency, and observability. These platforms manage authentication, tool execution, permissions, and logging, enabling agents to make deterministic tool calls without crafting raw API requests. Key features to consider include broad API coverage, type-safe interfaces, robust authentication, scalable infrastructure, and deep observability for error diagnosis. Among the notable platforms, Nango offers a code-first experience with over 500 supported APIs and is suitable for high-scale production environments. It provides a strong focus on observability and customization, making it ideal for products requiring more than simple tool calls. Arcade specializes in the Model Context Protocol (MCP), offering a dedicated tool execution engine and robust testing features, though it has a smaller catalog. Workato emphasizes governance and auditing, catering mainly to internal and enterprise contexts with a low-code approach. When selecting a platform, organizations should consider their specific needs for extensibility, observability, and scalability to ensure reliable and efficient AI agent integrations.