Mcp Azure Loganalytics
What is Mcp Azure Loganalytics
mcp-azure-loganalytics is an MCP server implemented in Python that utilizes Azure services to facilitate log analysis. It retrieves Azure activity logs and allows users to run queries using Kusto Query Language (KQL) for deeper insights.
Use cases
Use cases for mcp-azure-loganalytics include troubleshooting application errors by analyzing log patterns, summarizing user activity for reporting purposes, and monitoring system performance through log data analysis.
How to use
To use mcp-azure-loganalytics, ensure you have Python 3.8 or higher and an Azure subscription with the necessary permissions. Set the required environment variables for Azure credentials, including AZURE_SUBSCRIPTION_ID and AZURE_LOG_ANALYTICS_WORKSPACE_ID. After setup, you can retrieve logs and run analysis queries through the server.
Key features
Key features of mcp-azure-loganalytics include Azure Activity Logs Retrieval, Log Analytics Query execution using KQL, and LLM Prompts for common log analysis tasks such as analyzing log errors and summarizing activity logs.
Where to use
mcp-azure-loganalytics can be used in various fields including IT operations, security monitoring, and compliance auditing, where log data analysis is crucial for operational insights and decision-making.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Azure Loganalytics
mcp-azure-loganalytics is an MCP server implemented in Python that utilizes Azure services to facilitate log analysis. It retrieves Azure activity logs and allows users to run queries using Kusto Query Language (KQL) for deeper insights.
Use cases
Use cases for mcp-azure-loganalytics include troubleshooting application errors by analyzing log patterns, summarizing user activity for reporting purposes, and monitoring system performance through log data analysis.
How to use
To use mcp-azure-loganalytics, ensure you have Python 3.8 or higher and an Azure subscription with the necessary permissions. Set the required environment variables for Azure credentials, including AZURE_SUBSCRIPTION_ID and AZURE_LOG_ANALYTICS_WORKSPACE_ID. After setup, you can retrieve logs and run analysis queries through the server.
Key features
Key features of mcp-azure-loganalytics include Azure Activity Logs Retrieval, Log Analytics Query execution using KQL, and LLM Prompts for common log analysis tasks such as analyzing log errors and summarizing activity logs.
Where to use
mcp-azure-loganalytics can be used in various fields including IT operations, security monitoring, and compliance auditing, where log data analysis is crucial for operational insights and decision-making.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Azure Log Analytics MCP Server
This project implements an MCP server in Python that leverages Azure services to provide tools and prompts for log analysis. The server performs the following functions:
- Azure Activity Logs Retrieval: Uses the Azure Monitor Management client to obtain Azure activity logs within a specified time range.
- Log Analytics Query: Uses the Azure Monitor Query client to run Kusto Query Language (KQL) queries against a Log Analytics workspace.
- LLM Prompts: Exposes two prompts to help with common log analysis tasks:
- Analyze Log Errors: Generates a prompt for an LLM to analyze error patterns in raw log data.
- Summarize Activity Logs: Creates a prompt for summarizing the activity logs.
Prerequisites
- Python 3.8+
- An Azure subscription with appropriate permissions
- Azure credentials (using any method supported by
DefaultAzureCredential) - Environment variables set for:
AZURE_SUBSCRIPTION_IDAZURE_LOG_ANALYTICS_WORKSPACE_ID
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
