Design secure, scalable MCP servers using these 5 best practices. Learn how to test, package, and optimize for agentic use cases.

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Five essential best practices for building MCP (Model Context Protocol) servers: manage tool budget by avoiding one-tool-per-endpoint patterns, design for AI agents rather than end users with proper error handling, document for both human users and AI agents, test user interactions beyond just functionality using MCP inspector, and package servers as Docker containers for portability. The guide emphasizes that AI agents are the actual consumers of MCP tools, requiring different design considerations than traditional user-facing APIs.

Top 5 MCP Server Best Practices

1. Manage your agent’s tool budget intentionally

2. The end user of the tool is the agent/LLM

4. Don’t just test functionality, test user interactions

5. Packaging your MCP servers with containers