Will MCP Become the REST of AI Agents? What Developers Should Watch

Short summary

MCP (Model Context Protocol) is emerging as a shared interface layer that lets AI agents discover and invoke tools without custom adapters for each connection. Unlike REST, MCP sits above existing APIs and standardizes the model-facing layer rather than replacing backend services. The real challenge is enterprise governance—authentication, authorization, prompt injection, observability, and human approval must be solved before MCP scales in production.

• •MCP standardizes the model-facing integration layer above existing REST/GraphQL APIs
• •It solves the many-to-many integration problem between AI clients and tools
• •Enterprise adoption hinges on solving auth, observability, prompt injection, and governance at scale

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