erikdarlingdata/PerformanceMonitor
Free, open-source SQL Server performance monitoring. All the important stuff. Built-in MCP server for AI integration.
Overview
erikdarlingdata/PerformanceMonitor is a C# MCP server licensed under MIT. Free, open-source SQL Server performance monitoring. All the important stuff. Built-in MCP server for AI integration. Topics: aws-rds, azure-sql, blocking, database-monitoring, dba-tools, deadlocks, dotnet, duckdb, performance-monitoring, query-performance, sql-server, sql-server-monitoring, wait-stats, wpf, mcp-server, model-context-protocol.
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In the top 1% of all indexed tools.
Actively maintained with commits in the last week.
Ecosystem
C# MIT
aws-rdsazure-sqlblockingdatabase-monitoringdba-toolsdeadlocksdotnetduckdbperformance-monitoringquery-performancesql-serversql-server-monitoringwait-statswpfmcp-servermodel-context-protocol
Signal Breakdown
Stars 255
Freshness 2d ago
Issue Health 96%
Contributors 6
Dependents 0
Forks 30
Description Good
License MIT
How to Improve
Description low impact
Dependents medium impact
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From the README
# SQL Server Performance Monitor **Free, open-source monitoring that replaces the tools charging you thousands per server per year.** 30+ collectors, real-time alerts, built-in MCP server for AI analysis. Nothing phones home. Your data stays on your server and your machine. **Supported:** SQL Server 2016–2025 | Azure SQL Managed Instance | AWS RDS for SQL Server | Azure SQL Database (Lite only) --- ## Download **👉 Not sure which edition to pick? [Start with Lite.](https://github.com/erikdarlingdata/PerformanceMonitor/releases/latest)** One download, nothing installed on your server, data flowing in under 5 minutes. | | **[Full Edition](https://github.com/erikdarlingdata/PerformanceMonitor/releases/latest)** | **[Lite Edition](https://github.com/erikdarlingdata/PerformanceMonitor/releases/latest)** | |---|---|---| | **What it does** | Installs a `PerformanceMonitor` database with 30 T-SQL collectors running via SQL Agent. Separate dashboard app connects toRead full README on GitHub →
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