Model Context Protocol
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A Model Context Protocol (MCP) server that enables free web searching using Google search results, with no API keys required.
Share code with LLMs via Model Context Protocol or clipboard. Profile-based customization enables easy switching between different tasks (like code review and documentation). Code outlining support is available as an experimental feature.
This is an MCP server that allows you to directly download transcripts of YouTube videos.
MCP server for browser automation using Playwright. Enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.
Go server implementing Model Context Protocol (MCP) for filesystem operations.
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.
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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.
An MCP server that provides fast file searching capabilities across Windows, macOS, and Linux. On Windows, it uses the Everything SDK. On macOS, it uses the built-in mdfind command. On Linux, it uses the locate/plocate command.
Node.js server implementing Model Context Protocol (MCP) for filesystem operations.
This MCP server integrates with Google Drive to allow listing, reading, and searching over files.
MCP server for browser automation using Playwright. Enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.
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.
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.
A Model Context Protocol (MCP) server that enables free web searching using Google search results, with no API keys required.
A Box model context protocol server to search, read and access files
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.