mcp-builder

To build an MCP server, you use phase-based development with Python or TypeScript to create standardized tools that allow LLM clients to interact with external services. This approach enforces consistent tool naming, input validation, and secure credential handling.

Phase-based development for MCP servers is a structured approach that guides you through creating connections between LLMs and external services. It provides Python and TypeScript examples to accelerate delivery while enforcing validation and security practices.

Yes, you can use TypeScript to create MCP servers for LLM platforms. The builder supports both TypeScript and Python implementations, enabling you to expose APIs, dataset status queries, and live metrics streaming through standardized tools.

Secure handling of environment variables in MCP servers is enforced through robust validation and security practices built into the development process. This ensures credentials are safely managed when LLM clients interact with external services.

Yes, MCP server development supports pagination for list tools. The builder enforces pagination, tool annotations, consistent naming conventions, and input validation to ensure scalable deployments for LLM platforms.

Best practices for exposing training-management APIs include using standardized tools with consistent naming, input validation, and secure credential handling. The MCP builder provides phase-based guidance to expose APIs like platform_create_run for managing training runs.