This repository showcases various Model Context Protocol (MCP) servers designed to enable Large Language Models (LLMs) to securely access and interact with tools and data sources from Microsoft Azure, including Azure AI Foundry, Cosmos DB, and Data Explorer, facilitating efficient and safe data utilization.
Added on:
Created by:
Mar 24 2025
This repository showcases various Model Context Protocol (MCP) servers designed to enable Large Language Models (LLMs) to securely access and interact with tools and data sources from Microsoft Azure, including Azure AI Foundry, Cosmos DB, and Data Explorer, facilitating efficient and safe data utilization.
Added on:
Created by:
Mar 24 2025
Wassim Chegham
Featured
What is Azure Community MCP Servers?
The Azure Community MCP Servers provide standardized MCP implementations that allow LLMs to securely connect with Azure-based tools and databases. These servers support functionalities like querying Azure Cosmos DB, analyzing Azure Data Explorer, and integrating with Azure AI Foundry, enhancing AI capabilities with real-time data access. They enable developers and AI engineers to deploy secure, scalable, and efficient LLM integrations, optimize data operations, and leverage Azure's diverse AI services for various applications such as data analysis, AI agent development, and enterprise data management.
Who will use Azure Community MCP Servers?
- AI developers
- Data engineers
- Azure cloud architects
- Research scientists
- AI application integrators
How to use the Azure Community MCP Servers?
- Step1: Clone the repository from GitHub.
- Step2: Choose the specific MCP server relevant to your use case, such as Cosmos DB or Data Explorer.
- Step3: Follow the setup instructions to deploy the MCP server in your Azure environment.
- Step4: Configure your LLM or AI application to connect to the MCP server using provided APIs or endpoints.
- Step5: Start querying or interacting with Azure data sources through the MCP server in a secure manner.
Azure Community MCP Servers's Core Features & Benefits
The Core Features
- Secure access to Azure Cosmos DB datasets
- Query and analyze Azure Data Explorer databases
- Integrate with Azure AI Foundry for AI agent connectivity
The Benefits
- Standardized secure data access for LLMs
- Enhanced data security and compliance
- Simplified integration with Azure services
- Enabling real-time data querying and analysis
Azure Community MCP Servers's Main Use Cases & Applications
- Developing AI agents that securely access enterprise data in Azure
- Enabling LLMs to analyze large datasets in Cosmos DB
- Building AI-powered data analysis tools using Azure Data Explorer
- Integrating LLMs with Azure AI Foundry for advanced AI models
FAQs of Azure Community MCP Servers
Developer
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