# Automation

The Claude Kubernetes MCP Server is a Go - based integrated platform that combines ArgoCD, GitLab, and Claude AI to achieve advanced automated control of Kubernetes environments.

This project automatically collects arXiv papers through the arxiv_mcp_project and uses AI to generate quick summaries, aiming to help users efficiently obtain the core content of papers.

An OmniFocus integration service designed for Claude Desktop, providing task management functions through the MCP protocol, supporting task and project retrieval and intelligent filtering

The Flutter MCP Server is an open - source implementation of the Model Context Protocol (MCP) for the Dart/Flutter ecosystem. It provides a unified API interface for AI assistants and developer tools, supports remote calls to the Dart/Flutter development toolchain, and enables secure and programmable automated development processes.

The Logseq MCP Server is a model context protocol server that provides direct integration with Logseq knowledge bases, enabling LLMs to interact programmatically with Logseq graphs.

This project is a Todoist server application based on the Model Context Protocol, allowing users to interact with Todoist through an LLM (such as Claude) and supporting all Todoist API features.

This project demonstrates the training of a linear regression model using Claude and the Model Context Protocol (MCP) for an end-to-end machine learning workflow. Users only need to upload a CSV dataset, and the system can automatically complete the entire process of data preprocessing, model training, and evaluation (RMSE calculation).

Mail MCP is an email tool based on the MCP protocol that allows AI models to access email services through standardized interfaces, supporting functions such as sending, receiving, and managing emails and attachments.

Cursor AI rule configuration for the tfmcp project

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

Aseprite MCP Tools v2.0 is a powerful Python toolset for programmatically interacting with Aseprite via the Model Context Protocol, providing enhanced error handling, configuration management, batch processing, and palette management functions.

The 1Panel MCP Server is an experimental project for automatically deploying websites to the 1Panel server via the Model Context Protocol (MCP).

Pipeline control project

A Spotify server based on the MCP protocol that allows interaction with a Spotify account via Claude, enabling functions such as searching for songs, creating playlists, and getting recommendations.

X_MCP is a server project for automatically publishing content on the X platform (formerly Twitter).

Claude - MCP is a multi - functional collection of MCP servers, providing rich expansion capabilities for compatible applications such as Claude Desktop.

The Alibaba Cloud Operation and Maintenance MCP Server project provides a variety of cloud product operation tools, including functions such as starting, stopping, and querying services like ECS, VPC, RDS, and OSS, and supports automated operation and maintenance through API and OOS.

The Upcloud MCP Server is a service based on the Model Context Protocol, used for seamless integration with the Upcloud API, providing automation functions and interaction capabilities for developers. It is still in development and not ready for formal use.

MCP Fly Deployer is a configuration generation tool designed specifically for the Fly.io platform, used to automate the deployment of stdio servers based on the Model Context Protocol. Through the integration of supergateway technology, it supports converting local stdio services into SSE or WebSocket services and provides the function of automatically generating Dockerfile, fly.toml configuration, and deployment scripts.

Changesets is a build tool for managing versions and releases in multi - package or single - package codebases

The Argo CD MCP server is a service that implements the Model Context Protocol (MCP), allowing AI assistants to interact with Argo CD applications through natural language and supporting clients such as VS Code to integrate through stdio and SSE protocols.

The MCP server is a platform that supports AI in autonomously developing software, providing functions such as file operations, network requests, database queries, Git management, and system command execution, enabling full-process automated development from concept to testing.

A server that provides make functionality through the MCP protocol, allowing LLMs to safely execute targets in Makefiles

A lightweight screenshot microservice based on FastAPI, compatible with the MCP protocol, supporting full - screen, region, and window screenshots, suitable for AI agents and automation tools.

ScreenPilot is a tool that enables LLMs to fully control the device through an MCP server. It provides a screen automation toolkit and supports functions such as screen capture and mouse and keyboard control. It is suitable for automation, education, and entertainment.

Yingdao RPA MCP Server is an implementation based on the Model Context Protocol (MCP), providing a service for Yingdao AI Power and other MCP Host tools to call RPA capabilities. It supports the local mode and the open API mode, and can query and run RPA applications, upload files, manage jobs, etc.

This project is an MCP server for deploying code to Google Cloud Run, supporting deployment through AI agents, IDEs, and assistant applications.

This is an MCP (Model Context Protocol) server plugin developed for the Binary Ninja reverse engineering tool, providing various disassembling and analysis functions, supporting interaction with clients through the MCP protocol, and realizing the automation of binary file analysis.

The DaVinci Resolve MCP Server is a bridge that enables interaction between AI assistants and DaVinci Resolve via the Model Context Protocol (MCP), supporting functions such as project management, timeline operations, media management, and Fusion composition.

Fetcher MCP is a web content scraping server based on the Playwright headless browser, which uses AI technology to efficiently obtain web information.