@dkhalife/azure-log-analytics-mcp
v1.0.2
Published
MCP server for querying Azure Log Analytics workspaces
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Azure Log Analytics MCP
Query Azure Log Analytics workspaces from any MCP client
Azure Log Analytics MCP is a lightweight Model Context Protocol (MCP) server that lets AI assistants query your Azure Log Analytics workspaces. It runs locally via stdio and authenticates using your existing Azure credentials.
Tip: If your Application Insights resource is workspace-based (the default since February 2024), you can use this server to query App Insights data too. See App Insights vs Log Analytics tables for details.
🎯 What it does
This MCP server gives AI assistants read-only access to your Log Analytics telemetry data through two simple tools:
- Discover what tables are available in your workspace
- Query your telemetry using KQL (Kusto Query Language)
All operations are strictly read-only — KQL is a query language, not a mutation language.
✨ Tools
| Tool | Description | Parameters |
|------|-------------|------------|
| list_tables | Discovers available tables in the workspace by scanning recent data | timespan (optional) — ISO 8601 duration, defaults to P1D |
| query | Runs a KQL query and returns results as JSON | query (required) — KQL query string; timespan (optional) — ISO 8601 duration, defaults to P1D |
🚀 Installation
Prerequisites
- Node.js 18+
- An Azure account with access to a Log Analytics workspace
- Azure CLI logged in (
az login) or another credential source supported by DefaultAzureCredential
Setup
No build step required for end users. Just use npx:
APP_INSIGHTS_WORKSPACE_ID=<your-workspace-id> npx @dkhalife/azure-log-analytics-mcp@latestFor development:
git clone https://github.com/dkhalife/azure-log-analytics-mcp.git
cd azure-log-analytics-mcp
npm install
npm run build⚙️ Configuration
The server is configured via a single environment variable:
| Variable | Required | Description |
|----------|----------|-------------|
| APP_INSIGHTS_WORKSPACE_ID | ✅ | The Log Analytics workspace ID (GUID) |
Finding your Workspace ID
Azure Portal:
- Go to your Log Analytics workspace → Overview
- Copy the Workspace ID (a GUID)
Azure CLI:
az monitor log-analytics workspace show \
--workspace-name <workspace-name> \
-g <resource-group> \
--query "customerId" -o tsvAuthentication
The server uses DefaultAzureCredential which automatically picks up credentials from (in order):
- Environment variables (
AZURE_CLIENT_ID,AZURE_TENANT_ID,AZURE_CLIENT_SECRET) - Azure CLI (
az login) - Azure PowerShell
- Managed Identity (when running in Azure)
For local development, az login is the simplest option.
📋 Usage Examples
VS Code
Add to your VS Code settings.json under MCP servers:
{
"mcp": {
"servers": {
"log-analytics": {
"command": "npx",
"args": ["@dkhalife/azure-log-analytics-mcp@latest"],
"env": {
"APP_INSIGHTS_WORKSPACE_ID": "<your-workspace-id>"
}
}
}
}
}Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"log-analytics": {
"command": "npx",
"args": ["@dkhalife/azure-log-analytics-mcp@latest"],
"env": {
"APP_INSIGHTS_WORKSPACE_ID": "<your-workspace-id>"
}
}
}
}Example Prompts
Once connected, you can ask your AI assistant things like:
- "List all available tables in the workspace"
- "Show me recent security events from the last hour"
- "Query heartbeat data for the last 7 days grouped by computer"
- "What are the top error events in the last 24 hours?"
Example KQL Queries
// Recent heartbeats by computer
Heartbeat
| summarize LastHeartbeat = max(TimeGenerated) by Computer
| order by LastHeartbeat desc
// Security events by type
SecurityEvent
| summarize count() by Activity
| top 10 by count_
// Performance counters — average CPU usage
Perf
| where CounterName == "% Processor Time"
| summarize avg(CounterValue) by Computer, bin(TimeGenerated, 1h)
| order by TimeGenerated desc
// Syslog errors
Syslog
| where SeverityLevel == "err"
| summarize count() by Facility, bin(TimeGenerated, 1h)
| order by TimeGenerated desc📊 App Insights vs Log Analytics Tables
If your Application Insights resource is linked to a Log Analytics workspace, you can query App Insights data through this server. However, the table names differ between the two:
| Log Analytics Table | Application Insights Table | Description |
|---------------------|---------------------------|-------------|
| AppRequests | requests | Incoming HTTP requests |
| AppDependencies | dependencies | Outbound dependency calls |
| AppExceptions | exceptions | Application exceptions |
| AppTraces | traces | Log traces |
| AppEvents | customEvents | Custom events |
| AppMetrics | customMetrics | Custom metrics |
| AppPageViews | pageViews | Page view telemetry |
| AppBrowserTimings | browserTimings | Browser performance |
| AppAvailabilityResults | availabilityResults | Availability tests |
| AppPerformanceCounters | performanceCounters | Performance counters |
When querying through this MCP server (which connects to the Log Analytics workspace), use the Log Analytics table names (left column).
❓ FAQ
Q: Does it work with Application Insights?
Yes, if your Application Insights resource is workspace-based (the default since February 2024). The App Insights data appears in the Log Analytics workspace under table names like AppRequests, AppExceptions, etc. See App Insights vs Log Analytics Tables.
Q: What authentication methods are supported?
Any method supported by Azure's DefaultAzureCredential — Azure CLI, environment variables, managed identity, and more. For local use, az login is the easiest.
Q: What is the timespan parameter?
An ISO 8601 duration string that limits how far back the query looks. Examples: PT1H (1 hour), P1D (1 day), P7D (7 days), P30D (30 days). Defaults to P1D (24 hours) if not specified.
Q: Can I query multiple workspaces?
Not currently. The server queries the single workspace specified by APP_INSIGHTS_WORKSPACE_ID.
Q: Why do I get "The requested path does not exist"?
Your APP_INSIGHTS_WORKSPACE_ID is incorrect. Make sure you're using the Workspace ID (a GUID like xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx), not the workspace name or ARM resource ID. See Finding your Workspace ID.
🤝 Contributing
Contributions are welcome! Feel free to fork the repo and submit pull requests. If you have ideas but aren't familiar with code, you can also open issues.
🔒 License
This project is licensed under the MIT License. See the LICENSE file for details.
