# Code generation

An OpenAPI specification exploration server designed for Claude/Cursor, which helps users search for and understand API documentation through a three - step process.

The Cloudscape MCP Assistant is a server that enhances the Roo AI functionality, providing comprehensive support for the AWS Cloudscape design system, including component discovery, document access, and code generation.

J.A.R.V.I.S. is an intelligent code assistant based on multi - model support, providing functions such as code generation, modification, and technical discussions, and supporting multiple file formats and real - time collaboration.

Apifox MCP Server is a service that provides the interface documentation of Apifox projects as a data source to AI programming tools, supporting code generation and document query.

This project includes the MCP server and VSCode extension, which generates HTML, CSS, and JavaScript applications through natural language prompts and uses Google LLM technology to achieve AI code generation.

An MCP server based on Aider, providing AI programming capabilities and supporting multiple models and transport protocols.

Titan Memory Server is a neural memory system based on Google research, providing sequence learning and prediction functions, supporting memory state management and model persistence.

An MCP Server integrating MATLAB and AI, supporting code execution and generation

An MCP server project for connecting the Claude application to the terminal/system to generate code projects

Codigma MCP Server is a backend service that supports converting Figma designs into semantic HTML and CSS code. It can optionally generate TailwindCSS styles and provides API interfaces to handle the entire process from design to code.

Payload MCP is an AI - assisted tool server developed specifically for Payload CMS. It provides code generation, validation, project building, and query analysis functions through the standardized Model Context Protocol (MCP) to help developers more efficiently build and manage Payload CMS projects.

The Cursor IDE is a next-generation code editor designed specifically for AI-assisted development. It integrates the AI capabilities provided by the MCP server and implements AI model integration and development optimization through the Spring AI framework.

A Python function generation server based on the MCP protocol that can automatically generate Python code based on descriptions and support manual test verification

An MCP server based on Milvus that helps generate pymilvus code by retrieving relevant code snippets and documentation

Zion MCP is a language-independent AI-driven framework for automatically generating project scaffolds, supporting multiple languages and an extensible plugin system.

A D3.js Model Context Protocol (MCP) server based on TypeScript and Express, providing D3 visualization documentation, chart recommendation, and code generation functions.

A project for quickly generating API interface encapsulation code through the Cursor tool

The OpenAPI MCP Server is a model context protocol service for Claude/Cursor that supports searching and exploring OpenAPI specifications through oapis.org. It helps users obtain the identifiers of APIs, summaries described in simple language, and detailed information about endpoints through a three-step process. It is suitable for API exploration and code generation.

A chain-agnostic tool that can automatically generate typed MCP servers from files such as the ABI/IDL of smart contracts, enabling large language models to call contract functions through a standard protocol.

A Postman-based AI tool generation server that can convert Postman collections into type-safe code and support the integration of multiple AI frameworks.

An MCP server that provides tools and resources for the R language tidymodels ecosystem, supporting package management, function search, code generation, and issue query functions.

This project demonstrates how to combine the Apifox MCP service with Cursor Composer to implement an automated interface development process. After users clone the Apifox MCP project, configure environment variables and start the service, then create a Nestjs project in Cursor and connect through MCP configuration, use the Apifox collaborative link to automatically generate interface code, and finally complete interface testing.

An MCP implementation for playing sound effects after Cursor AI code generation