Deebo is an AI debugging assistant that can accelerate the process of resolving code errors and improve development efficiency through automated investigation and multi - threaded workflows.

The Aider MCP Server is an experimental model context protocol server used to offload AI coding tasks to Aider, improving development efficiency and flexibility.

The Feishu MCP Server provides Feishu document access capabilities for AI coding tools, supporting document creation, content operation, and editing, thereby improving development efficiency.

The MCP Context Template is a repository for centrally managing AI tool contexts, aiming to reduce the cost of context sharing and improve development efficiency, providing a unified AI collaboration standard and document structure for teams.

Cursor Rust Tools is an MCP server that provides access to Rust Analyzer, Crate documentation, and Cargo commands for the LLM in Cursor, improving the efficiency of AI agents in Rust development.

GarenCode Design is an AI-driven intelligent component design platform that automates the entire process from requirements analysis to code generation through the MCP framework. It supports multiple AI models and private component libraries, significantly improving front-end development efficiency.

Claude Command Runner is an MCP server that connects the Claude desktop application with terminal tools. It supports intelligent command execution, automatic output capture, and comprehensive v3.0 features, improving development efficiency.

This is an MCP server specifically designed for Local by Flywheel, allowing AI assistants to directly read the WordPress database, automatically detect MySQL instances, and execute read - only queries, greatly improving development efficiency.

The VibeCheck Web testing tool is an AI-driven web testing agent integrated into AI programming assistants (such as GitHub Copilot, Cursor, etc.) through the MCP protocol to achieve automated test recording, execution, and discovery. It uses Playwright to control the browser, supports generating test scripts through natural language description, executes regression tests, and automatically discovers potential test steps, improving development efficiency and test accuracy.

An MCP service that prevents AI hallucinations. When AI is uncertain, it can ask humans for help instead of being over - confident, improving development efficiency through a simple Q&A mechanism.

A Laravel development assistance toolkit designed specifically for Cursor IDE to improve development efficiency

This project provides a set of development toolkits, including AI - assisted templates and utility scripts, to improve development efficiency and project management standardization.

DevContext is a powerful AI development context system that provides developers with project-centric continuous context awareness. It includes four memory types: short-term, long-term, situational, and semantic, supports code structure analysis and vector search, and significantly improves development efficiency.

This project is a resource center for the Cursor AI integrated development environment, containing a collection of rules, protocol services, and tools to improve development efficiency, supporting custom AI behavior and project specifications.

Jira Context MCP is a model context protocol implementation that integrates Jira with the Cursor IDE, allowing developers to directly obtain Jira ticket information, filter issue types, and automatically fix issues through an AI assistant, thereby improving development efficiency.

CTX is a tool that connects code repositories with large language models (LLMs). By automatically generating structured context files, it solves the problem of low efficiency in code context transfer in AI development. It supports collecting information from various sources such as code files, Git repositories, and web pages, and can directly provide project context for AI assistants through the MCP server.

The Warden Magento MCP server is a service that provides AI assistant integration for the Warden and Magento 2 development environments, supporting functions such as project management, database operations, PHP development, and Magento CLI command execution, and improving development efficiency.

This project is an experimental Aider MCP server used to offload AI programming tasks to the Aider open - source assistant to improve development efficiency and flexibility. It supports multiple AI models, provides code modification and model list functions, and integrates with Claude Code through the MCP protocol.

An MCP server tool designed for AI assistants, supporting operations such as file reading, writing, deletion, and renaming, optimizing the development process and improving coding efficiency.

The Azure DevOps MCP server provides functions such as project management and repository operations, simplifies complex workflows, and improves development efficiency.

The MCP server of operative.sh is an automated web debugging agent that can autonomously execute and debug web applications, capture network traffic and error logs, and improve development efficiency.

This project provides a set of development toolkits, including AI - assisted templates and utility scripts, to improve development efficiency and maintain code consistency.

This project aims to evaluate the performance and development efficiency of the MCP server based on Azure PostgreSQL in clinical data analysis. By comparing with direct SQL queries, it verifies whether the MCP abstraction layer can reduce development complexity while maintaining or improving operational efficiency.

Geeker-Admin is a back-end management framework developed based on the latest technology stacks such as Vue 3.4 and TypeScript, providing rich components and functions, such as ProTable, dynamic routing, permission control, etc., to significantly improve development efficiency.

Omni_Engineer is an integrated software development efficiency system that achieves multi - functional collaboration through the FastAPI microservice architecture and the illegal - Agents platform, covering core functions such as code development, database management, version control, and team collaboration.

An AI-driven code analysis and optimization tool integrated with MCP services, aiming to improve development efficiency and code quality, and providing functions such as security scanning, performance analysis, and automated testing.

MeshSeeks is an AI task-solving platform based on multi-agent parallel processing technology. By creating a specialized AI agent network, it enables the rapid decomposition and collaborative resolution of complex coding problems. The project offers 4 times the context capacity, a real-time status panel, and intelligent task coordination functions, significantly improving development efficiency (benchmark tests show a 3.64-fold speed increase).

mcp-request is an MCP server tool used to quickly expose and reuse various HTTP APIs through the MCP protocol, avoiding the need to create a separate MCP server for each API and improving development efficiency.

The Alibaba Cloud CloudEffect MCP service provides AI assistants with the ability to interact with the CloudEffect platform, supporting functions such as code management and project collaboration, and helping enterprise development teams improve efficiency.

PydanticAI is a Python agent framework developed by the Pydantic team, aiming to simplify the development of production-grade applications based on generative AI. It supports multiple AI models, integrates Pydantic validation and structured output, provides a dependency injection system, streaming responses, and graph support, and seamlessly integrates with Pydantic Logfire. It is suitable for building AI applications that require type safety and efficiency.