Model Context Protocol (MCP) server that provides access to Azure Resource Graph queries. It allows you to retrieve information about Azure resources across your subscriptions using Resource Graph queries.
What is hardik id azure resource graph mcp server
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Azure Resource Graph MCP Server
This is a Model Context Protocol (MCP) server that provides access to Azure Resource Graph queries. It allows you to retrieve information about Azure resources across your subscriptions using Resource Graph queries.
*
Features
- Query Azure resources using Resource Graph queries
- Default query returns resource ID, name, type, and location
- Supports custom Resource Graph queries
- Uses Azure DefaultAzureCredential for authentication
Prerequisites
- Node.js installed
- Azure subscription
- Azure CLI installed and logged in, or other Azure credentials configured
Running the MCP Server
You can run the MCP server using either Cursor IDE or Visual Studio Code.
Option 1: Cursor IDE Integration
To integrate the MCP server with Cursor IDE:
- Clone this repository to your local machine (e.g.,
C:\YOUR_WORKSPACE\azure-resource-graph-mcp-server
) - Build the project:
npm install
npm run build
- Open Cursor Settings (JSON) and add the following configuration:
{
"mcpServers": {
"azure-resource-graph-mcp-server": {
"command": "node",
"args": [
"C:\\YOUR_WORKSPACE\\azure-resource-graph-mcp-server\\build\\index.js"
],
"env": {
"SUBSCRIPTION_ID": "xxxxxx-xx-xx-xx-xxxxxx"
},
}
}
}
Note: Make sure to update the path to match your local repository location.
- Restart Cursor IDE to apply the changes
Option 2: VS Code Integration
To integrate the MCP server with Visual Studio Code:
- Clone this repository to your local machine
- Build the project:
npm install
npm run build
- Open VS Code Settings (JSON) by pressing
Ctrl+Shift+P
, type "Settings (JSON)" and select "Preferences: Open User Settings (JSON)" - Add the following configuration:
{
"mcp": {
"servers": {
"azure-resource-graph": {
"type": "stdio",
"command": "node",
"args": [
"C:\\YOUR_WORKSPACE\\azure-resource-graph-mcp-server\\build\\index.js"
],
"env": {
"SUBSCRIPTION_ID": "xxxxxx-xx-xx-xx-xxxxxx"
},
}
}
}
}
Note: Make sure to update the path to match your local repository location.
- Save the settings.json file
- Restart VS Code to apply the changes
The MCP server will now be available to use within VS Code with cursor integration.
Usage
The server provides the following tool:
query-resources
Retrieves resources and their details from Azure Resource Graph.
Parameters:
subscriptionId
(optional): Azure subscription ID (defaults to configured ID)query
(optional): Custom Resource Graph query (defaults to "Resources | project id, name, type, location")
Environment Setup
-
First, make sure you're logged in to Azure CLI by running:
az login
This step is crucial for local development as the DefaultAzureCredential will automatically use your Azure CLI credentials.
-
Set up your environment variables:
- Copy
.env.example
to.env
- Update
AZURE_SUBSCRIPTION_ID
in.env
with your actual subscription ID - Other variables (
AZURE_TENANT_ID
,AZURE_CLIENT_ID
,AZURE_CLIENT_SECRET
) are optional when using Azure CLI authentication
- Copy
-
Make sure you have proper Azure credentials configured. The server uses DefaultAzureCredential which supports:
- Azure CLI
- Managed Identity
- Visual Studio Code credentials
- Environment variables
-
If using environment variables, set up:
- AZURE_SUBSCRIPTION_ID
- AZURE_TENANT_ID
- AZURE_CLIENT_ID
- AZURE_CLIENT_SECRET
Error Handling
The server includes robust error handling for:
- Azure client initialization failures
- Query execution errors
- Invalid queries or parameters
Development
To work on this project:
- Make changes in the
src
directory - Build using
npm run build
- Test your changes by running the server
License
This project is licensed under the MIT License. See the LICENSE file for details.
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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