mcp-builder

To build an MCP server, you design well-defined tools that enable LLMs to interact with external services. This involves planning the project structure, registering tools, selecting transports, and implementing error handling using either Python or TypeScript stacks.

The best way to structure tool registration in an MCP server is to follow standardized patterns for project structure and tool design. This ensures consistent input validation and robust error handling across both Python and TypeScript implementations.

Yes, MCP server development supports both Python and TypeScript. You can use the FastMCP framework for Python and the MCP SDK for Node/TypeScript to implement production-grade servers with standardized patterns.

To validate tool inputs when developing an MCP server, you use Pydantic for Python and Zod for TypeScript. These frameworks provide standardized input validation patterns to ensure LLMs safely interact with external services.

To evaluate MCP server readiness, you follow a step-by-step workflow spanning planning, implementation, review, and evaluation. This process enforces best practices for transport configuration, pagination, and error handling to ensure production-grade quality.

Transport selection in an MCP server involves choosing the appropriate communication method for your specific use case. This configuration step is critical for enabling LLMs to safely and efficiently interact with external services through well-defined tools.