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A comprehensive comparison between Model Context Protocol (MCP) and traditional APIs for building AI-powered applications and agents.
Use MCP if you're building AI assistants, agents, or tools that interact with Claude, Cursor, or other AI-native applications. Use APIs for traditional software integration or when MCP isn't supported by your target platform.
| Feature | MCP | Traditional API |
|---|---|---|
| Setup Complexity | Low - standardized protocol | High - custom integration per API |
| Context Preservation | Maintains context across requests | Context lost between requests |
| Tool Discovery | Automatic via protocol | Manual documentation lookup |
| Security Model | Built-in permission controls | Varies by provider |
| AI Native | Designed for AI agents | Designed for human developers |
| Standardization | Single protocol for all | Every API is different |
| Real-time Data | Supported via resources | Webhooks/polling |
| Best For | AI assistants, agents, Claude | Traditional apps, batch processing |