The Model Context Protocol is emerging as the de facto standard way for AI agents to interface with downstream services - microservices, data sources and more. While it’s designed to be used in LLM-centric applications, under the covers an MCP server ultimately implements calls to concrete APIs. APIs that can fail. APIs that might be unavailable due to network limitations. APIs that might be rate limited. Your AI applications and agents can only be as reliable as the MCP servers they leverage.
Watch this webinar to: