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MCP vs REST APIs: When to Use What

MCP isn't replacing REST. Here's a practical guide to choosing the right protocol for your AI integration.

·2 min read·xapable

MCP vs REST APIs: When to Use What

A common question: "Should I build a REST API or an MCP tool?" The answer: it depends. Here's how to decide.

REST APIs Are For...

  • Human developers reading docs and writing integration code
  • Broad consumption — web apps, mobile apps, third-party integrations
  • CRUD operations — standard create, read, update, delete patterns
  • Existing infrastructure — you already have REST, keep it

MCP Tools Are For...

  • AI agents that need to discover and invoke capabilities dynamically
  • Semantic understanding — agents need descriptions, not just endpoints
  • Composability — agents chain multiple tools together in a single workflow
  • Rapid iteration — add tools without updating agent code

The Hybrid Approach

The best strategy? Wrap your REST API with MCP.

// Your existing REST endpoint
app.get('/api/weather/:city', weatherHandler);

// MCP wrapper (adds discovery + semantics)
server.addTool({
  name: "get_weather",
  description: "Get current weather for any city worldwide",
  parameters: { city: { type: "string" } },
  handler: async ({ city }) => {
    const resp = await fetch(`/api/weather/${city}`);
    return resp.json();
  }
});

Decision Matrix

Factor REST MCP
Human consumers ✅ Best
AI agent consumers ⚠️ Possible ✅ Best
Auto-discovery ✅ Native
Semantic contracts Manual docs ✅ Built-in
Existing ecosystem ✅ Huge 🚀 Growing

The Takeaway

Don't choose — build both. REST for your human-facing API. MCP as the AI-native layer on top. mcpm makes publishing both straightforward.

How are you bridging REST and MCP? Let's discuss.

#MCP #REST #APIDesign #AIAgents #mcpm