GitKraken CLI is a command - line tool that provides multi - repository workflow management, AI - generated commit messages and pull requests, and includes a local MCP server for integrating tools such as Git, GitHub, and Jira.

A Node.js tool based on Playwright that can bypass search engine anti - scraping mechanisms to perform Google searches and extract results. It can be used as a command - line tool or an MCP server to provide real - time search capabilities for AI assistants.

tldraw-agent is an AI-based text-to-chart generation tool that supports multiple usage methods such as command line, library, and MCP service, and can automatically generate text descriptions (such as architecture diagrams and flowcharts) into charts in PNG or SVG format.

Xmcp is an AI - based command - line tool that helps users write and directly post tweets to their Twitter accounts, providing functions such as content generation, secure authentication, and draft management.

OneCite is a powerful academic citation tool that can automatically convert messy references (such as DOI, title, arXiv ID, etc.) into citation entries with standard formats and complete data. It supports multiple formats such as BibTeX, APA, MLA, and provides command - line, Python library, and AI assistant integration.

Tiger CLI is a command - line tool for Tiger Cloud, providing database service management and query functions, and integrating an MCP server for AI assistants to use.

Lookerctl is a comprehensive command - line tool for large - scale management and optimization of LookML. It provides functions such as local fast verification, usage analysis, dependency mapping, scientific testing, and AI integration, and supports the MCP server for use by AI agents.

persistproc is a shared process layer tool designed for multi - agent development workflows. Through the MCP server and command - line tool, it allows agents and human users to view and control long - running processes (such as web servers). Its aim is to reduce copy - paste operations when coding with AI, support multi - agent collaboration, and remain tool - independent.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers that cover a variety of tools and integrations, including browser automation, art and culture, cloud platforms, command - line, communication, customer data platforms, databases, developer tools, file systems, fintech, knowledge and memory, location services, monitoring, search, security, travel and transportation, version control, etc. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized servers.

This project is a command - line interface (CLI) tool that integrates Arcee AI, TESS, and MCP services. It adopts the Clean Architecture and DDD design principles to provide an abstract layer for unified access to multiple artificial intelligence services.

This is a comprehensive collection of Model Context Protocol (MCP) servers, covering multiple categories such as AI services, art and culture, browser automation, cloud platforms, cloud storage, command lines, communication, customer data platforms, data science tools, databases, developer tools, file systems, finance, games, knowledge and memory, location services, marketing, monitoring, notes, other tools and integrations, research and data, search, security, social media, system automation, travel and transportation, version control, and workflow automation.

The Brightsy MCP Server is a Model Context Protocol server that connects to Brightsy AI agents. It supports configuring the agent ID, API key, and tool name through the command line or environment variables, and provides test scripts to verify functionality.

zPlanner is a command - line project planning tool focused on software development management, providing task hierarchy, progress tracking, and HTML reporting functions. It is especially designed with a context memory system for AI - assisted development.

The Bazel MCP Server is a local MCP server that provides AI agents supporting MCP with access to the functions of the Bazel build system. It solves the problem of being unable to use Bazel due to the lack of command - line tools or incorrect environment configuration in the MCP environment, provides core functions such as building, querying, and testing, and supports dynamic setting of the workspace path at runtime.

An extremely fast website cloning tool based on asynchronous Python, supporting JavaScript rendering, authentication bypass, and AI agent integration, providing a desktop GUI and command - line interface.