Generates production-ready MCP servers with dual-mode (MCP + CLI) architecture, tests, and documentation. Includes progressive disclosure tools for AI agents and best practices guidance.
A tool that enables AI assistants to conversationally scaffold, build, and publish Python MCP servers to PyPI. It automates the entire development lifecycle, including package naming, tool scaffolding, GitHub repository setup, and package publishing.
An intelligent tool that automates the setup of new Model Context Protocol (MCP) server projects through a conversational interface. It generates project structures, technical specifications, and context-rich documentation to streamline AI-assisted development in TypeScript or Python.
Automatically generates MCP server tools from OpenAPI specifications, enabling LLMs to interact with any API defined by an OpenAPI spec through natural language.
A production-ready Python scaffold for building Model Context Protocol (MCP) servers using FastMCP. It provides a structured framework for developers and AI agents to rapidly develop, test, and manage custom tools and workflows.
Provides a template for building an MCP server with example tools, prompts, and resources, enabling developers to create a server that exposes data and actions to AI clients.