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The organizations I work with are rapidly adopting the Model Context Protocol (MCP) to connect their services and data to AI models through AI agents, but they’re running into familiar challenges: securing access to MCP servers and tools while providing routing, rate limiting, observability and developer portals.
The early days of API adoption taught us painful lessons about security breaches, performance disasters and operational chaos when services were exposed without proper gateway controls.
If you’re building and exposing MCP servers…
