Model Context Protocol

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by Tag: Automation

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Executeautomation

A Model Context Protocol server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.

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AutomataLabsTeam

MCP server for browser automation using Playwright. Enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.

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Non906

This is an MCP server that analyzes the screen with OmniParser and automatically operates the GUI. Confirmed on Windows.

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Recursechat

A Model Context Protocol (MCP) server that lets AI assistants like Claude control Apple Shortcuts automations. This enables AI models to trigger shortcuts and automate tasks on macOS in a safe and controlled way.

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Modelcontextprotocol

A Model Context Protocol server for Git repository interaction and automation. This server provides tools to read, search, and manipulate Git repositories via Large Language Models.

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claude-task-master

2 weeks ago
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eyaltoledano

An AI-powered task-management system you can drop into Cursor, Lovable, Windsurf, Roo, and others.

GitMCP

2 weeks ago
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idosal

Put an end to code hallucinations! GitMCP is a free, open-source, remote MCP server for any GitHub project

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upstash

Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors

Filtering by tag:Automation
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Recursechat logo
Recursechat·cloud

A Model Context Protocol (MCP) server that lets AI assistants like Claude control Apple Shortcuts automations. This enables AI models to trigger shortcuts and automate tasks on macOS in a safe and controlled way.

AutomataLabsTeam logo
AutomataLabsTeam·cloud

MCP server for browser automation using Playwright. Enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.

Joshuarileydev logo
Joshuarileydev·cloud

A Model Context Protocol (MCP) server for launching and managing macOS applications.

Integromat logo
Integromat·cloud

A Model Context Protocol server that enables Make scenarios to be utilized as tools by AI assistants. This integration allows AI systems to trigger and interact with your Make automation workflows.

Executeautomation logo
Executeautomation·cloud

A Model Context Protocol server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.

Modelcontextprotocol logo
Modelcontextprotocol·cloud

A Model Context Protocol server that provides browser automation capabilities using Puppeteer. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.

Pyroprompts logo
Pyroprompts·cloud

Integrate Claude with Any OpenAI SDK Compatible Chat Completion API - OpenAI, Perplexity, Groq, xAI, PyroPrompts and more. This is a TypeScript-based MCP server that implements an implementation into any OpenAI SDK Compatible Chat Completions API.

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Jasonjmcghee·cloud

Enable any LLM (e.g. Claude) to interactively debug any language for you via MCP and a VS Code Extension

Understanding Model Context Protocol (MCP)

Model Context Protocol (MCP) is a groundbreaking open-source protocol developed by Anthropic that revolutionizes how AI systems interact with external data sources. As the foundation for next-generation AI interactions, MCP enables AI assistants like Claude to establish secure and standardized connections with various data sources and tools.

Key Features of MCP

  • Universal Standard: Provides a unified framework for AI systems to access external data, tools, and prompts
  • Client-Server Architecture: Implements a robust and scalable architecture for seamless AI interactions
  • Security-First Design: Ensures secure data transmission and access control between AI systems and data sources
  • Tool Integration: Enables AI assistants to interact with various external tools and services
  • Standardized Communication: Establishes consistent protocols for data exchange and interaction patterns

Benefits for AI Development

MCP represents a significant advancement in AI infrastructure, offering developers and organizations a standardized way to build and deploy AI applications. By providing a common protocol, MCP reduces implementation complexity and ensures compatibility across different AI systems and data sources.

Whether you're developing AI applications, managing data infrastructure, or implementing AI solutions, MCP provides the foundation for secure, efficient, and standardized AI interactions. Explore our directory to find MCP servers that match your specific needs and requirements.