Model Context Protocol
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Airtable Model Context Protocol Server, for allowing AI systems to interact with your Airtable bases
Model Context Protocol Servers. This repository is a collection of reference implementations for the Model Context Protocol (MCP), demonstrating how it can be used to give Large Language Models (LLMs) secure, controlled access to tools and data sources.
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.
MCP Server implementation for Xcode integration. This server acts as a bridge between Claude and your local Xcode development environment, enabling intelligent code assistance, project management, and automated development tasks.
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This is an MCP server for Attio, the AI-native CRM. It allows mcp clients (like Claude) to connect to the Attio API.
MCP Server for Chronulus AI Forecasting and Prediction Agents
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 server for converting almost anything to Markdown
A simple, composable framework to build agents using Model Context Protocol and simple workflow patterns
mcp-difyworkflow-server is an mcp server Tools application that implements the query and invocation of Dify workflows, supporting the on-demand operation of multiple custom Dify workflows.
MCP Server to Use HuggingFace spaces, easy configuration and Claude Desktop mode.
A Model Context Protocol server that provides MySQL database operations. This server enables AI models to interact with MySQL databases through a standardized interface.
An MCP server that provides LLMs with the latest stable package versions when coding
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.