Introducing MCP adds complexity to AI agent architectures:

• Multiple Components: Need to run an MCP client in the AI agent and set up MCP servers for tools/data
• Learning Curve: Understanding MCP concepts (protocol messages, session handling, tool registration)
• Integration Overhead: Configuring connections, handling authentication, tuning LLM behavior
• Development Effort: May require custom nodes/components in platforms like n8n

Complexity Considerations

Compared to calling a simple REST API directly, the MCP approach initially requires more setup work. Organizations must weigh if the standardization benefits justify this effort:

• Simple use case: Bespoke solution might be simpler
• Multiple integrations: MCP's advantages become more apparent
• Long-term strategy: Initial complexity offset by future flexibility