MCP server for querying Azure Log Analytics using natural language
Azure Log Analytics MCP Server is a Model Context Protocol server designed to query Azure Log Analytics using natural language, allowing users to convert their queries into Kusto Query Language (KQL) and execute them seamlessly.
To use the server, clone the repository, install the dependencies, and run it either as a CLI tool or an MCP server by providing your Anthropic API key and Azure credentials.
Use these steps to connect Azure Log Analytics MCP Server in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.
Add this to your .cursor/mcp.json file in your project root, then restart Cursor.
.cursor/mcp.json
{
"mcpServers": {
"azure-log-analytics-mcp-mananshahtr": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-azure-log-analytics-mcp-mananshahtr"
]
}
}
}Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.
~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
{
"mcpServers": {
"azure-log-analytics-mcp-mananshahtr": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-azure-log-analytics-mcp-mananshahtr"
]
}
}
}Add this to your project's .mcp.json file. Claude Code will detect it automatically.
.mcp.json (project root)
{
"mcpServers": {
"azure-log-analytics-mcp-mananshahtr": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-azure-log-analytics-mcp-mananshahtr"
]
}
}
}Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.
You need Node.js 18.x or higher, an Azure subscription with a Log Analytics workspace, an Anthropic API key for Claude AI, and Azure CLI configured with appropriate credentials.
Yes, you can run it as a CLI tool or as an MCP server by using the provided commands in the documentation.
Yes, you can customize your natural language queries to retrieve specific log data as needed.7:["$","div",null,{"className":"container mx-auto flex flex-col gap-4","children":["$L26","$L27",["$","$L28",null,{"currentProject":{"id":3840,"uuid":"3e6d2c1a-0b14-400f-a1ea-4d6f5b2901e9","name":"azure-log-analytics-mcp","title":"Azure Log Analytics MCP Server","description":"MCP server for querying Azure Log Analytics using natural language","avatar_url":"https://avatars.githubusercontent.com/u/131394759?v=4","created_at":"2025-03-22T00:34:18.283Z","updated_at":"2025-03-22T00:37:10.468Z","status":"created","author_name":"MananShahTR","author_avatar_url":"https://avatars.githubusercontent.com/u/131394759?v=4","tags":"azure-log-analytics,mcp-server,natural-language-query","category":"research-and-data","is_featured":false,"sort":1,"url":"https://github.com/MananShahTR/azure-log-analytics-mcp","target":"_self","content":"$29","summary":"$2a","img_url":null,"type":null,"metadata":"{\"star\":\"0\",\"license\":\"\",\"language\":\"JavaScript\",\"is_official\":false,\"latest_commit_time\":\"2025-03-21 16:56:09\"}","user_uuid":null,"tools":null,"sse_url":null,"sse_provider":null,"sse_params":null,"is_official":false,"server_command":null,"server_params":null,"server_config":null,"allow_call":false,"is_innovation":false,"is_dxt":false,"dxt_manifest":null,"dxt_file_url":null,"is_audit":false},"randomProjects":[],"currentServerKey":"$undefined"}]]}]
.vscode/mcp.json
{
"servers": {
"azure-log-analytics-mcp-mananshahtr": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-azure-log-analytics-mcp-mananshahtr"
]
}
}
}Add this to your Windsurf MCP config file, then restart Windsurf.
~/.codeium/windsurf/mcp_config.json
{
"mcpServers": {
"azure-log-analytics-mcp-mananshahtr": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-azure-log-analytics-mcp-mananshahtr"
]
}
}
}Open Cline settings, navigate to MCP Servers, and add this server configuration.
Cline MCP Settings (via UI)
{
"mcpServers": {
"azure-log-analytics-mcp-mananshahtr": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-azure-log-analytics-mcp-mananshahtr"
]
}
}
}