Model Context Protocol
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Airtable Model Context Protocol Server, for allowing AI systems to interact with your Airtable bases
A Model Context Protocol server for Excel file manipulation. This server enables workbook creation, data manipulation, formatting, and advanced Excel features.
A Model Context Protocol (MCP) server that provides agentic tools for interacting with the Trieve API. This server enables AI agents to search and interact with Trieve datasets through a standardized interface.
A Model Context Protocol (MCP) server for Rember. Allow Claude to create flashcards for you with the official Model Context Protocol (MCP) for Rember. Rember helps you study and remember anything you care about by scheduling spaced repetition reviews.
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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A Google Tasks Model Context Protocol Server for Claude
A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.
Enables cloud-based AI services to access local Stdio based MCP servers.
MCP server connecting to Kubernetes
A Model Context Protocol (MCP) server that lets you seamlessly use OpenAI's models right from Claude.
Shell and coding agent on claude desktop app.
A secure shell command execution server implementing the Model Context Protocol (MCP). This server allows remote execution of whitelisted shell commands with support for stdin input.
Simple solution to give Claude ability to check current time via MCP
A Model Context Protocol server for Zotero integration that allows Claude to interact with your Zotero library.
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.