Playwright MCP is a browser automation server based on Playwright that enables interaction between LLM and web pages through structured data rather than pixel input.

Browser MCP is an MCP server + Chrome extension that enables browser automation through AI applications (such as VS Code, Claude, etc.). It features fast response, privacy protection, staying logged in, and avoiding detection.

An MCP server based on Playwright, providing browser automation capabilities for LLMs

The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.

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.

An AI-driven browser automation server based on the MCP protocol, supporting natural language control of web page operations and in-depth web research.

Changesets is an automated tool to help manage the version control and release process of multi-package or single-package codebases.

PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.

The 302AI BrowserUse MCP Server is an AI-based browser automation server that enables natural language control of browsers and web research through the Model Context Protocol (MCP).

The Apify MCP Server is a service that implements the Model Context Protocol (MCP), allowing AI assistants to interact with various Actors on the Apify platform through SSE or Stdio to perform tasks such as data scraping and web search.

UE5 - MCP is an AI - integrated automation tool designed to optimize the workflow between Blender and Unreal Engine 5, providing an end - to - end solution from scene generation to game development.

The DevOps AI Toolkit is an AI-based platform engineering and DevOps automation tool that provides functions such as resource deployment recommendations, problem repair, project governance, and a shared prompt library for teams through intelligent Kubernetes operations and conversational workflows, enabling complex cloud-native operations to be achieved through natural language interaction.

Cursor AI rule configuration for the tfmcp project

An MCP server based on MaaFramework, providing Android device and Windows desktop automation capabilities for AI assistants, supporting operations such as OCR recognition, clicking, swiping, and text input, and capable of converting operation processes into reusable Pipelines.

Awesome MCP Servers is a comprehensive collection of Model Context Protocol (MCP) servers, covering 7,158 MCP servers divided into 33 categories, including AI integration, art and media, browser automation, cloud services, databases, developer tools, file systems, finance, gaming, hardware, healthcare, infrastructure, knowledge management, location maps, marketing, monitoring, multimedia processing, operating systems, project management, scientific research, security, social media, travel and transportation, utilities, and version control, etc.

An MCP server based on Playwright that provides browser automation capabilities for LLMs

An MCP server based on Playwright, providing web automation tools and a note storage system

An MCP server set in the Kali Linux environment, focusing on reverse engineering, security testing, and automated workflows.

n8n is a workflow automation platform for technical teams, combining code flexibility and no - code speed, offering over 400 integrations, native AI capabilities, and fair - code licensing, supporting self - hosting or cloud deployment.

This project provides an MCP server for deploying code to Google Cloud Run services, supporting deployment from various sources such as AI-assisted IDEs, AI assistant applications, and proxy SDKs.

adb - mcp is a proof - of - concept project aiming to provide an interface for LLMs through the MCP protocol to create an AI agent for controlling Adobe tools (such as Photoshop and Premiere). This project includes the MCP server, Node command proxy server, and Adobe application plugins, supporting natural language instruction operations on Adobe software and suitable for image and video editing automation.

A server that provides Siri shortcut services via the MCP protocol

An MCP server based on Playwright, providing browser automation capabilities for LLMs, including web page interaction, screenshot capture, and JavaScript execution.

HWP-MCP is a protocol service that enables AI models to control HWP documents, supporting document creation, editing, and automation processing.

MCP Appium is an intelligent mobile automation server based on the model context protocol, providing cross - platform mobile app testing tools for AI assistants, supporting iOS and Android platforms, and featuring intelligent element location, session management, and automated test generation functions.

The Razorpay MCP Server is an official payment integration service that provides seamless docking with the Razorpay API through the Model Context Protocol (MCP), supporting multiple payment tools and automated processes.

An MCP server implementation based on Selenium WebDriver, providing browser automation functions

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

This project is a collection of MCP servers designed for Kali Linux, aiming to enhance reverse engineering, security testing, and automation workflows. It integrates tools such as Nmap and Wireshark and provides Docker sandbox support.

The MCP Browser Proxy is a powerful integration of the Model Context Protocol, providing autonomous browser automation capabilities for Claude Desktop and supporting functions such as navigation, screenshot, DOM interaction, JavaScript execution, and API requests.

This project is a Model Context Protocol (MCP) adapter used to connect large language models (LLMs) with the Lisp development environment, supporting interaction through the lightweight Lisply protocol. The main functions include Lisp code evaluation, HTTP requests, and debugging support, suitable for scenarios such as AI-assisted symbolic programming and CAD design automation.

A project that exposes AutoHotkey functionality through an MCP server, enabling model interfaces to control Windows automation tasks.

A server that controls Microsoft Paint through the JSON-RPC 2.0 protocol, supporting functions such as starting the Paint program, drawing graphics, setting colors, and tool properties.

The IBM i MCP server is a server based on the Model Context Protocol, providing SQL tools, monitoring, and automation functions for the IBM i system, supporting multiple client integrations and containerized deployment

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.

The VibeCheck Web testing tool is an AI-driven web testing agent designed to simplify the web testing process for developers. It integrates with AI programming assistants through the MCP protocol, supporting automated test recording, execution, and discovery, and helping developers quickly identify and fix code issues.

This project is a toolset for managing and configuring multiple Model Context Protocol (MCP) servers, mainly serving AI assistants such as Claude Desktop. It provides functions such as file system access, SQLite database queries, web automation, and GitHub integration, and includes installation scripts, configuration templates, and security practice guides.

This is an AWS S3 bucket tool designed for MCP clients. It supports listing buckets, retrieving objects, filtering CSV files, and reading content, optimizing automated access and scalability.

The Xray MCP Server is a tool that integrates the Xray Cloud API with MCP clients such as Claude Code. It provides functions such as test case management, test execution, test planning, and test set grouping, and supports CI/CD integration and test automation.

The official NervusDB MCP Server provides functions such as code knowledge graph construction, project analysis, workflow automation, and code operations, supporting cross - language code relationship analysis and GitHub integration