MCP is generating a lot of excitement in the AI community, and rightly so. But should you replace all your APIs with MCP servers? The honest answer is: it depends. Here is our decision framework.

MCP and APIs: complementary tools

MCP is not a replacement for REST APIs. It is a communication protocol optimised for AI agents. REST APIs are designed for applications that know exactly what to request. MCP is designed for agents that need to discover capabilities autonomously.

MCP vs REST API
Architecture comparison of MCP and REST for AI agents
500+
open source MCP servers available in May 2026
3 weeks
to migrate an existing API to MCP
80%
of AI use cases benefit from a hybrid approach

When to use MCP

For AI agents that explore

If your agent must discover which tools are available and decide which to use itself, MCP is superior.

For multi-client integrations

If you want to expose your data to multiple different AI clients, one MCP server saves you from maintaining specific integrations for each.

When to keep your REST API

For deterministic applications

If your application knows exactly what data to retrieve and in what order, a REST API is simpler, faster and more predictable.

Our recommendation: expose your data in MCP for AI agents, keep your REST APIs for your applications. Both can coexist perfectly.

How to migrate progressively

Create an MCP server that wraps your existing APIs. No need to refactor everything. Zero-risk migration, immediate benefit.

MCP REST API AI Agents Architecture Integration Protocol

With care,

Sylvie Wendkuni NITIEMA
Founder & Data Scientist · DataSAI