Does it handle API security?

The builder generates .env.example templates and configuration structures that use environment variables, ensuring sensitive keys like NIXTLA_API_KEY are never hardcoded.

What is the Model Context Protocol (MCP)?

MCP is an open standard that enables AI models like Claude to interact with external data sources and tools through a consistent server-client interface.

What libraries are required for the generated server?

The generated implementations require Python 3.10+, the MCP Python SDK, Pydantic for validation, and pytest for the testing suite.

Can I use this for non-Nixtla projects?

Yes, while optimized for Nixtla workflows, it generates standard Python MCP servers that can be utilized for any tool-based Claude Code integration.

Do I need a specific PRD format to use this skill?

The skill expects a Markdown PRD with a 'Functional Requirements' section containing an 'MCP Server Tools' subsection listing tool names and descriptions.

Nixtla MCP Server Builder

Name: Nixtla MCP Server Builder
Author: intent-solutions-io

byintent-solutions-io

API Development

Generates production-ready Model Context Protocol (MCP) server implementations and test suites directly from PRD tool specifications.

About

The Nixtla MCP Server Builder streamlines the development of Claude Code plugin backends by automating the creation of complete MCP server infrastructures. It parses functional requirements from Markdown documents to generate type-safe Python code, including Pydantic schema validation, asynchronous tool handlers, and comprehensive pytest suites. By reducing development time from hours to minutes, it ensures consistent architecture and adherence to MCP best practices for developers building Nixtla-powered time series forecasting or general-purpose AI tools.

Key Features

Built-in error handling and logging following MCP specifications
Standardized deployment infrastructure including plugin.json and README
Automated PRD parsing for MCP tool definitions and descriptions
0 GitHub stars
Complete test suite generation with pytest for all tool handlers
Pydantic-based input and output schema validation for type safety

Use Cases

Updating existing MCP servers with new tools defined in a Product Requirement Document
Scaffolding a new MCP server backend for a Nixtla-integrated plugin
Generating standardized test suites and documentation for MCP-compliant tools

About

Key Features

Built-in error handling and logging following MCP specifications
Standardized deployment infrastructure including plugin.json and README
Automated PRD parsing for MCP tool definitions and descriptions
0 GitHub stars
Complete test suite generation with pytest for all tool handlers
Pydantic-based input and output schema validation for type safety

Use Cases

Updating existing MCP servers with new tools defined in a Product Requirement Document
Scaffolding a new MCP server backend for a Nixtla-integrated plugin
Generating standardized test suites and documentation for MCP-compliant tools