Every enterprise already has REST APIs. Why add MCP?
REST for machine-to-machine integration and public APIs. MCP for AI-agent access to internal tools with auth, allowlisting and audit baked in.
REST APIs are the default enterprise integration surface. They're not designed for LLM agents — every LLM tool has to write its own connector, handle auth, and hope the OpenAPI spec is accurate.
MCP is a purpose-built protocol for LLM-to-tool communication: standard schema, standard auth pattern, tool discovery, and audit built-in. Any MCP-aware client (Claude Desktop, Cursor, ChatGPT Desktop, custom copilots) can use any MCP server.
REST isn't going away. MCP sits on top or alongside — often wrapping existing REST APIs into an AI-friendly surface.
The standard machine-to-machine integration surface. Enterprise APIs, third-party SaaS, everything in between.
Open protocol from Anthropic for LLM-to-tool communication with built-in discovery, auth and audit.
| Criterion | REST / OpenAPI | MCP (Model Context Protocol) |
|---|---|---|
| Purpose | General M2M | LLM ↔ tools |
| Tool discovery | Manual per client | Standard, automatic |
| Auth | Varies wildly | Standardised patterns |
| Audit | You build it | Server-side, standard |
| Ecosystem age | Decades | Emerging (2024–) |
| Reuse across AI clients | Rebuild per client | Write once, use anywhere |
The winning pattern in 2026: keep REST APIs as-is and wrap the AI-relevant ones in MCP servers. The MCP server enforces per-user auth, tool allowlisting and audit; the REST API stays untouched.
Multi-agent architectures that plan, use tools and complete complex tasks.
Explore serviceProduction-grade GPT, Claude, Gemini and open-source LLMs — grounded in your data.
Explore serviceAI-native automation that reads, decides and acts across your systems.
Explore serviceNo. MCP servers typically wrap REST APIs, translating tool calls into REST calls with proper user identity and scoping.
Yes when servers implement per-user auth, tool allowlisting, rate limits and audit logging — all standard patterns in the reference implementations.
No. REST remains the standard for M2M and public APIs. MCP is the AI-specific layer on top of it.
Insights, use cases and industries that put this decision into context.
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