About Azure Mcp Servers
A directory of MCP servers that let LLMs access Microsoft Azure services and data. It lists servers for Azure AI Agent Service, Cosmos DB, and Azure Data Explorer.
Key features
- 01Catalog of Azure MCP servers
- 02Connect to existing Azure AI Agents
- 03Query Azure Cosmos DB datasets
- 04Query and analyze Azure Data Explorer
Use cases
- 01Find an MCP server for Azure AI Agents
- 02Access Cosmos DB data through an LLM
- 03Query Azure Data Explorer with an AI assistant
MCP support
The directory lists MCP servers that expose Azure services and data to MCP clients, including AI agents and database tools.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEThis directory showcases various Model Context Protocol (MCP) servers. These servers enable Large Language Models (LLMs) to securely access tools and data sources from Microsoft Azure.
AI
Azure AI Agent Service MCP Server
This MCP server integrates with Azure AI Foundry to enable connections to your existing Azure AI Agents, utilizing the wide range of models and knowledge tools available within Azure AI Foundry, such as Azure AI Search and Bing Web Grounding.
https://github.com/azure-ai-foundry/mcp-foundry
Database
Azure Cosmos DB MCP Server
A Model Context Protocol (MCP) server that provides secure access to Azure Cosmos DB datasets. Enables Large Language Models (LLMs) to safely query and analyze data through a standardized interface.
https://github.com/AzureCosmosDB/azure-cosmos-mcp-server
adx-mcp-server
A Model Context Protocol (MCP) server that enables AI assistants to query and analyze Azure Data Explorer databases through standardized interfaces.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.