Azure MCP Servers
by manekinekko
This repository showcases various Model Context Protocol (MCP) servers. These servers enable Large Language Models (LLMs) to securely access tools and data sources from Microsoft Azure.
Last updated: N/A
What is Azure MCP Servers?
A collection of Model Context Protocol (MCP) servers designed to provide Large Language Models (LLMs) with secure access to various Microsoft Azure services, including AI agents, Cosmos DB, and Azure Data Explorer.
How to use Azure MCP Servers?
Each server provides a standardized interface for LLMs to interact with specific Azure services. Refer to the individual server's repository (linked in the README) for detailed instructions on configuration, deployment, and usage.
Key features of Azure MCP Servers
Secure data access for LLMs
Standardized interface for interacting with Azure services
Integration with Azure AI Foundry
Support for Azure Cosmos DB
Support for Azure Data Explorer
Use cases of Azure MCP Servers
Enabling LLMs to query and analyze data in Azure Cosmos DB
Allowing LLMs to leverage Azure AI Agents for specific tasks
Providing LLMs with access to Azure Data Explorer databases for data analysis
Building AI assistants that can securely access and utilize Azure services
FAQ from Azure MCP Servers
What is MCP?
What is MCP?
Model Context Protocol (MCP) is a standard interface for LLMs to access external data and tools.
What Azure services are supported?
What Azure services are supported?
Currently, Azure AI Agents, Azure Cosmos DB, and Azure Data Explorer are supported.
Where can I find detailed instructions for each server?
Where can I find detailed instructions for each server?
Each server has its own repository with detailed instructions, linked in the README.
Are these servers production-ready?
Are these servers production-ready?
Refer to the individual server's repository for information on production readiness and support.
How do these servers ensure data security?
How do these servers ensure data security?
These servers are designed with security in mind, providing controlled and audited access to Azure resources.