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Qwen Code
Bridges Qwen's code analysis capabilities through CLI integration, providing file-referenced queries with @filename syntax, automatic model fallback, and configurable execution modes for code review, codebase exploration, and automated refactoring workflows.
Selenium WebDriver
Enables browser automation through Selenium WebDriver with support for Chrome, Firefox, and Edge browsers, providing navigation, element interaction, form handling, screenshot capture, JavaScript execution, and advanced actions for automated testing and web scraping tasks.
NotebookLM
Empower your CLI agents with zero-hallucination answers from your own docs. NotebookLM MCP Server connects AI tools like Claude, Cursor, and Codex directly to Google’s NotebookLM, ensuring every answer is accurate, current, and citation-backed. Skip error-prone manual copy-paste—let your AI assistant research, synthesize, and reference across your documents for confident coding. All queries are grounded in your uploads, eliminating invented APIs or outdated info. Manage notebooks, automate deep research, and achieve seamless collaboration between multiple tools using a shared, always-relevant knowledge base. Spend less time debugging and more time building with trustworthy, source-based answers.
GitMCP
Stop vibe-hallucinating and start vibe-coding—GitMCP empowers your AI assistant with instant, up-to-date documentation and code from any GitHub project. This free, open-source server eliminates code hallucinations, providing reliable API usage, accurate code examples, and effective support for even new or niche libraries. With smart search tools and a privacy-first approach, GitMCP helps AIs deliver trustworthy answers by pulling information straight from the source. Enjoy enhanced productivity with lightning-fast access to the latest content, all while keeping your projects secure and your workflow smooth.
Jira
Streamline Jira Cloud integration with this modular MCP server for AI and automation tools. Easily list scrum boards, track issues, add comments, fetch user info, and search users. Designed for extensibility and easy contribution, it helps automate workflows and connect Jira data to custom agents or bots. The server supports key Jira functionalities like retrieving server details and managing issues, all wrapped in a clean, TypeScript-based structure. Whether enhancing existing tools or building new automation, this project simplifies interacting with Jira Cloud via the Model Context Protocol.
Memory Bank
Maintains persistent project context through a structured Memory Bank system of five markdown files that track goals, status, progress, decisions, and patterns with automatic timestamp tracking and workflow guidance for consistent documentation across development sessions.
Ref Tools
Supercharge your AI coding agent with focused, efficient access to documentation. Ref MCP empowers LLM tools to search and extract only the most relevant technical content from APIs, libraries, and services, reducing token usage and avoiding information overload. Smart filtering and precise page reading help your agent find just what it needs, making code generation and research faster, cheaper, and more accurate. Designed to support evolving agent workflows, Ref MCP ensures your AI always has up-to-date documentation context without unnecessary noise or cost, optimizing both performance and productivity for modern AI-powered development.
Deep Research (Tavily)
Enables comprehensive web research by leveraging Tavily's Search and Crawl APIs to aggregate information from multiple sources, extract detailed content, and structure data specifically for generating technical documentation and research reports.