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SQL Server性能监控工具
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MCP工具

SQL Server性能监控工具

基于 C# · 让 AI 助手直接操作你的系统与工具
英文名:PerformanceMonitor
⭐ 382 Stars 🍴 60 Forks 💻 C# 📄 MIT 🏷 AI 8.2分
8.2AI 综合评分
数据库监控性能诊断SQL Server实时采集DBA工具
✦ AI Skill Hub 推荐

AI Skill Hub 强烈推荐:SQL Server性能监控工具 是一款优质的MCP工具。AI 综合评分 8.2 分,在同类工具中表现稳健。如果你正在寻找可靠的MCP工具解决方案,这是一个值得深入了解的选择。

📚 深度解析

SQL Server性能监控工具 是一款基于 MCP(Model Context Protocol)标准协议的 AI 工具扩展。MCP 协议由 Anthropic 开发并开源,旨在建立 AI 模型与外部工具之间的标准化通信接口,目前已被 Claude Desktop、Claude Code、Cursor 等主流 AI 工具采纳。

通过安装 SQL Server性能监控工具,你的 AI 助手将获得额外的工具调用能力,可以用自然语言直接操控该工具的功能,无需学习复杂的命令行语法。MCP 工具的核心价值在于"一次配置,永久增强"——配置完成后,每次与 AI 对话时都可以无缝调用这些工具。

在技术实现上,MCP 工具通过标准的 JSON-RPC 协议与 AI 客户端通信,工具的功能以"工具列表"的形式暴露给 AI 模型,AI 可以按需调用。SQL Server性能监控工具 提供了结构化的工具调用接口,使 AI 模型能够精确地理解和使用每个功能点,显著降低 AI 在工具使用上的错误率。

与传统的 API 集成相比,MCP 工具的优势在于无需编写代码——用户只需在配置文件中添加几行 JSON,即可让 AI 获得全新能力。AI Skill Hub 将 SQL Server性能监控工具 评为 AI 评分 8.2 分,属于同类工具中的优质选择。

📋 工具概览

SQL Server性能监控工具 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。

GitHub Stars
⭐ 382
开发语言
C#
支持平台
Windows / macOS / Linux
维护状态
轻量级项目,按需更新
开源协议
MIT
AI 综合评分
8.2 分
工具类型
MCP工具
Forks
60

📖 中文文档

以下内容由 AI Skill Hub 根据项目信息自动整理,如需查看完整原始文档请访问底部「原始来源」。

SQL Server性能监控工具 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。

📌 核心特色
  • 通过标准 MCP 协议与 Claude、Cursor 等主流 AI 客户端深度集成
  • 提供结构化工具调用接口,显著降低 AI 集成复杂度
  • 支持 Claude Desktop 和 Claude Code 无缝接入,开箱即用
  • 可与其他 MCP 工具组合叠加,构建完整 AI 工作站
  • 轻量无侵入设计,不影响现有系统架构
🎯 主要使用场景
  • 在 Claude Desktop 对话中直接调用本地工具,实现 AI 与系统的深度联动
  • 通过自然语言驱动复杂的多步骤自动化任务,代替繁琐手动操作
  • 将多个 MCP 工具组合使用,构建个人专属 AI 工作站
以下安装命令基于项目开发语言和类型自动生成,实际以官方 README 为准。
安装命令
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/erikdarlingdata/PerformanceMonitor

# 方式二:手动配置 claude_desktop_config.json
{
  "mcpServers": {
    "sql-server------": {
      "command": "npx",
      "args": ["-y", "performancemonitor"]
    }
  }
}

# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
📋 安装步骤说明
  1. 确认已安装 Node.js(v18 或以上版本)
  2. 打开 Claude Desktop 或 Claude Code 的 MCP 配置文件
  3. 按「交给 Agent 安装 → Claude Desktop」标签中的 JSON 配置填入 mcpServers 字段
  4. 保存配置文件并重启 Claude 客户端
  5. 重启后,在对话中即可使用本工具
以下用法示例由 AI Skill Hub 整理,涵盖最常见的使用场景。
常用命令 / 代码示例
# 安装后在 Claude 对话中直接使用
# 示例:
用户: 请帮我用 SQL Server性能监控工具 执行以下任务...
Claude: [自动调用 SQL Server性能监控工具 MCP 工具处理请求]

# 查看可用工具列表
# 在 Claude 中输入:"列出所有可用的 MCP 工具"
以下配置示例基于典型使用场景生成,具体参数请参照官方文档调整。
配置示例
// claude_desktop_config.json 配置示例
{
  "mcpServers": {
    "sql_server______": {
      "command": "npx",
      "args": ["-y", "performancemonitor"],
      "env": {
        // "API_KEY": "your-api-key-here"
      }
    }
  }
}

// 保存后重启 Claude Desktop 生效
📑 README 深度解析 真实文档 完整度 70/100 查看 GitHub 原文 →
以下内容由系统直接从 GitHub README 解析整理,保留代码块、表格与列表结构。

SQL Server Performance Monitor

<p align="center"> <a href="https://github.com/erikdarlingdata/PerformanceMonitor/stargazers"><img src="https://img.shields.io/github/stars/erikdarlingdata/PerformanceMonitor?style=for-the-badge&logo=github&color=gold&logoColor=black" alt="GitHub Stars"></a> <a href="https://github.com/erikdarlingdata/PerformanceMonitor/network/members"><img src="https://img.shields.io/github/forks/erikdarlingdata/PerformanceMonitor?style=for-the-badge&logo=github" alt="GitHub Forks"></a> <a href="https://github.com/erikdarlingdata/PerformanceMonitor/blob/main/LICENSE"><img src="https://img.shields.io/github/license/erikdarlingdata/PerformanceMonitor?style=for-the-badge" alt="License: MIT"></a> <a href="https://github.com/erikdarlingdata/PerformanceMonitor/releases/latest"><img src="https://img.shields.io/github/v/release/erikdarlingdata/PerformanceMonitor?style=for-the-badge" alt="Latest Release"></a> <a href="https://github.com/erikdarlingdata/PerformanceMonitor/issues"><img src="https://img.shields.io/github/issues/erikdarlingdata/PerformanceMonitor?style=for-the-badge" alt="Open Issues"></a> <a href="https://github.com/erikdarlingdata/PerformanceMonitor/commits/main"><img src="https://img.shields.io/github/last-commit/erikdarlingdata/PerformanceMonitor?style=for-the-badge" alt="Last Commit"></a> <a href="https://github.com/erikdarlingdata/PerformanceMonitor/actions/workflows/build.yml"><img src="https://img.shields.io/github/actions/workflow/status/erikdarlingdata/PerformanceMonitor/build.yml?style=for-the-badge&label=CI" alt="CI"></a> </p> <p align="center"> <a href="https://x.com/erikdarlingdata"><img src="https://img.shields.io/badge/Follow_%40ErikDarlingData-black?style=for-the-badge&logo=x&logoColor=white" alt="Follow @ErikDarlingData on X"></a> <a href="https://www.youtube.com/@ErikDarlingData"><img src="https://img.shields.io/badge/YouTube-Subscribe-red?style=for-the-badge&logo=youtube&logoColor=white" alt="YouTube Subscribe"></a> <a href="https://www.linkedin.com/in/erik-darling-data/"><img src="https://img.shields.io/badge/LinkedIn-Connect-0077B5?style=for-the-badge&logo=linkedin&logoColor=white" alt="LinkedIn Connect"></a> <a href="https://erikdarling.com"><img src="https://img.shields.io/badge/Blog-erikdarling.com-FF6B35?style=for-the-badge&logo=wordpress&logoColor=white" alt="Blog"></a> </p>

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)

Dashboard landing page with server health cards

Full Dashboard — Resource Overview

---

Install

Windows Authentication:

PerformanceMonitorInstaller.exe YourServerName

SQL Authentication:

PerformanceMonitorInstaller.exe YourServerName sa YourPassword

Entra ID (MFA) Authentication:

PerformanceMonitorInstaller.exe YourServerName --entra user@domain.com

Clean reinstall (drops existing database and all collected data):

PerformanceMonitorInstaller.exe YourServerName --reinstall
PerformanceMonitorInstaller.exe YourServerName sa YourPassword --reinstall

Custom data/log file locations (applied only when the database is first created):

PerformanceMonitorInstaller.exe YourServerName --data-path D:\SQLData --log-path E:\SQLLogs

Uninstall (removes database, Agent jobs, and XE sessions):

PerformanceMonitorInstaller.exe YourServerName --uninstall
PerformanceMonitorInstaller.exe YourServerName sa YourPassword --uninstall

The installer automatically tests the connection, checks the SQL Server version (2016+ required), executes SQL scripts, downloads community dependencies, creates SQL Agent jobs, and runs initial data collection. You can also install directly from the Dashboard's Add Server dialog.

Air-gapped environments? Place pre-downloaded community scripts (sp_WhoIsActive.sql, DarlingData.sql, Install-All-Scripts.sql) in a community/ directory next to the installer. The installer uses local files when present and falls back to GitHub downloads otherwise.

CLI Installer Options

OptionDescription
SERVERSQL Server instance name (positional, required)
USERNAME PASSWORDSQL Authentication credentials (positional, optional)
--entra EMAILMicrosoft Entra ID interactive authentication (MFA)
--reinstallDrop existing database and perform clean install
--uninstallRemove database, Agent jobs, and XE sessions
--reset-scheduleReset collection schedule to recommended defaults
--preserve-jobsKeep existing SQL Agent job schedules during upgrade
--encrypt=optional\|mandatory\|strictConnection encryption level (default: mandatory)
--trust-certTrust server certificate without validation (default: require valid cert)
--data-path DIRServer-side directory for the data (.mdf) file (used only on first install)
--log-path DIRServer-side directory for the log (.ldf) file (used only on first install)
--helpShow usage information and exit
Custom file locations: --data-path / --log-path set where SQL Server places the PerformanceMonitor data and log files. They take effect only when the database is first created — if the database already exists they are ignored. Either flag may be supplied independently; an omitted one falls back to the instance default (SERVERPROPERTY('InstanceDefaultDataPath') / InstanceDefaultLogPath). The directory is a path on the SQL Server host and must already exist, with the SQL Server service account holding write permission. Both --data-path D:\SQLData and --data-path=D:\SQLData forms are accepted; quote paths containing spaces. Not applicable to Azure SQL Managed Instance, which always uses its managed file layout.

Environment variable: Set PM_SQL_PASSWORD to avoid passing the password on the command line.

Post-Installation

  1. Ensure SQL Server Agent is running — the collection job executes every minute
  2. Verify installation:
SELECT * FROM PerformanceMonitor.config.current_version;

SELECT TOP (20) *
FROM PerformanceMonitor.config.collection_log
ORDER BY collection_time DESC;
  1. Install the Dashboard. Download PerformanceMonitorDashboard-win-Setup.exe (requires .NET 10 Desktop Runtime). Setup.exe installs to %LocalAppData%\PerformanceMonitorDashboard, adds Start Menu and Desktop shortcuts, registers the app under Apps & Features, and wires up auto-update. Launch from the Start Menu, add your server, enter credentials, and data appears immediately.

What Gets Installed

  • PerformanceMonitor database with collection tables and reporting views
  • 33 collector stored procedures for gathering metrics (including SQL Agent job monitoring)
  • Configurable collection — query text and execution plan capture can be disabled per-collector via config.collection_schedule (collect_query, collect_plan columns) for sensitive or high-volume environments
  • Delta framework for calculating per-second rates from cumulative DMVs
  • Community dependencies: sp_WhoIsActive, sp_HealthParser, sp_HumanEventsBlockViewer, sp_BlitzLock
  • SQL Agent jobs: Collection (every 1 minute), Data Retention (daily at 2:00 AM), and Hung Job Monitor (collection job watchdog, every 5 minutes)
  • Version tracking in config.installation_history

Setup

1. Enable the MCP server in Settings (checkbox + port, default 5151) - The port must be between 1024 and 65535. Ports 0–1023 are well-known privileged ports reserved by the operating system. - On save, the app checks whether the chosen port is already in use and warns you if there is a conflict. - On startup, the app verifies the port is available before starting the MCP server. 2. Register with Claude Code:

claude mcp add --transport http --scope user sql-monitor http://localhost:5151/

3. Open a new Claude Code session and ask questions like: - "What servers are being monitored?" - "What are the top wait types on my server?" - "Are there any blocking or deadlock issues?" - "Show me CPU utilization for the last 4 hours" - "What are the most expensive queries by CPU?"

Building from Source

All projects target .NET 10.0.

```

CLI Installer (self-contained)

dotnet publish Installer/PerformanceMonitorInstaller.csproj -c Release ```

---

Quick Start — Lite Edition

  1. Download PerformanceMonitorLite-win-Setup.exe (requires .NET 10 Desktop Runtime)
  2. Run the installer — it installs to %LocalAppData%\PerformanceMonitorLite, adds Start Menu and Desktop shortcuts, and registers the app under Apps & Features so it shows up in Windows search and can be uninstalled normally. Auto-update is wired in.
  3. Launch from the Start Menu or Desktop shortcut.
  4. Click + Add Server, enter connection details, test, save.
  5. Double-click the server in the sidebar to connect.

Data starts flowing within 1–5 minutes. That's it. No installation on your server, no Agent jobs, no sysadmin required.

Upgrading from zip? Click Import Settings then Import Data in the sidebar and point both at your old Lite folder. Settings imports server connections, alert thresholds, SMTP config, and schedules. Data imports historical DuckDB + Parquet archives. Auto-update users (installed via Setup.exe) get updates automatically — no manual import needed.

Always On AG? Enable ReadOnlyIntent in the connection settings to route Lite's monitoring queries to a readable secondary, keeping the primary clear. Enable MultiSubnetFailover for multi-subnet failover scenarios.

Quick Start — Full Edition

More Screenshots

Lite Configuration

FileLocationPurpose
servers.json%ProgramData%\PerformanceMonitorLite\config\ (machine-wide)Server connections, shared across all Windows users on the machine. Passwords stay per-user in Windows Credential Manager. Optional **Utility Database** per server for community procs installed outside master.
settings.json%LOCALAPPDATA%\PerformanceMonitorLite\config\ (per-user)Retention, MCP server, startup behavior, alert thresholds, SMTP configuration
collection_schedule.json%LOCALAPPDATA%\PerformanceMonitorLite\config\ (per-user)Per-collector enable/disable and frequency
ignored_wait_types.json%LOCALAPPDATA%\PerformanceMonitorLite\config\ (per-user)144 benign wait types excluded by default

When a second Windows user on the same machine launches Lite, they see the shared servers.json immediately. SQL Auth and Entra MFA passwords are scoped to each user's own Credential Manager, so they'll be prompted once per server; Windows Auth works without any prompt.

---

AWS RDS Parameter Group Configuration

sp_configure is not available on AWS RDS for SQL Server. Features that depend on server-level configuration must be set through AWS RDS Parameter Groups instead.

Blocked process threshold — Enables blocked-process-report collection (the richer XE-sourced blocking detail). Without it the blocked-process-report XE will not fire on RDS, but blocking is still captured by the always-on dmv_blocking_snapshot collector, so the blocking grid and block-chain viewer stay populated regardless. Set the threshold for the fuller report-sourced detail.

1. Open the AWS RDS Console and navigate to Parameter groups 2. Create a new parameter group (or modify the one attached to your instance): - Family: sqlserver-ee-16.0 (or your edition/version) - Type: DB Parameter Group 3. Search for blocked process threshold (s) and set it to 5 (seconds) 4. Apply the parameter group to your RDS instance (may require a reboot if the parameter is static) 5. Verify it took effect:

   SELECT
       c.name,
       c.value_in_use
   FROM sys.configurations AS c
   WHERE c.name = N'blocked process threshold (s)';
   

Deadlocks — No parameter group configuration is required. The SQL Server deadlock monitor runs automatically on all platforms, and the xml_deadlock_report Extended Event fires without any threshold setting.

Azure SQL Database — The blocked process threshold is fixed at 20 seconds and cannot be changed. The blocked_process_report event fires automatically when blocking exceeds this duration.

---

MCP Server (LLM Integration)

Both editions include an embedded Model Context Protocol server that exposes monitoring data to LLM clients like Claude Code and Cursor.

Third-Party Components

Edition Comparison

CapabilityFullLite
Target server installationRequiredNone
SQL Server AgentRequiredNot needed
Azure SQL Managed InstanceSupportedSupported
AWS RDS for SQL ServerSupportedSupported
Azure SQL DatabaseNot supportedSupported
Multi-server from one seatPer-server installBuilt-in
Collectors3325
Agent job monitoringDuration vs historical avg/p95Duration vs historical avg/p95
Data storageSQL Server (on target)DuckDB + Parquet (local)
Execution plansCollected and stored (can be disabled per-collector)Download on demand
Graphical plan viewerBuilt-in with 30-rule PlanAnalyzerBuilt-in with 30-rule PlanAnalyzer
Standalone plan viewerOpen/paste/drag .sqlplan filesOpen/paste/drag .sqlplan files
Community tools (sp_WhoIsActive, sp_BlitzLock)Installed automaticallyNot needed
Alerts (tray + email + webhooks)Blocking, deadlocks, CPUBlocking, deadlocks, CPU
DashboardSeparate appBuilt-in
ThemesDark and lightDark and light
PortabilityServer-boundSingle executable
MCP server (LLM integration)Built into Dashboard (66 tools)Built-in (55 tools)

---

Troubleshooting

🇨🇳 中文文档镜像 AI 翻译 2026-06-25
英文原文章节由系统翻译为中文摘要,便于快速理解。完整原文见上方 "📑 README 深度解析"。
📌 简介

PerformanceMonitor 是一款专为 SQL Server 设计的性能监控工具。它能够帮助开发者和数据库管理员实时观测数据库运行状态,通过自动化手段收集关键性能指标,为 SQL Server 的性能调优与故障排查提供有力的数据支持。

🛠 安装步骤(Docker/pip/源码)

本项目提供多种安装方式以适配不同的身份验证场景。对于 Windows Authentication,直接运行安装程序并指定服务器名即可;若使用 SQL Authentication,需在命令后附加 sa 账号及密码;针对 Entra ID (MFA) 环境,请使用 `--entra` 参数并提供邮箱。此外,支持使用 `--reinstall` 进行彻底的清理重装,以移除现有数据库及所有历史采集数据。

🚀 使用教程

项目提供 Lite Edition(轻量版)与 Full Edition(完整版)两种模式。Lite Edition 用户只需下载 `PerformanceMonitorLite-win-Setup.exe`(需预装 .NET 10 Desktop Runtime),运行安装程序后,系统会自动在 `%LocalAppData%\PerformanceMonitorLite` 创建安装目录,并生成 Start Menu 与 Desktop 快捷方式,方便快速启动使用。

⚙️ 配置说明(含 MCP / env)

Lite 版的配置通过 `servers.json` 文件进行管理,该文件存放在 `%ProgramData%\PerformanceMonitorLite\config\` 路径下,实现机器范围内的服务器连接共享。为了安全性,密码会存储在 Windows Credential Manager 中。此外,针对 AWS RDS 环境,由于无法使用 `sp_configure`,用户必须通过 AWS RDS Parameter Groups 手动配置 `blocked process threshold`,以确保阻塞进程报告(blocked process reports)能够正常触发。

🔄 工作流/模块

本项目集成了先进的 MCP (Model Context Protocol) Server 模块。无论是 Lite 还是 Full 版本,都内置了该协议服务器,能够将实时监控数据安全地暴露给 Claude Code、Cursor 等支持 MCP 的 LLM 客户端,实现通过 AI 驱动的智能化数据库运维与分析工作流。

❓ FAQ 摘要

FAQ 章节主要用于解决安装、配置及运行过程中的常见问题。通过查阅故障排除指南,开发者可以快速定位由于权限不足、环境依赖缺失或 AWS RDS 参数配置不当导致的异常情况,确保监控任务的稳定性。

🎯 aiskill88 AI 点评 A 级 2026-05-20

成熟的SQL Server监控解决方案,32个采集器覆盖全面,实时性强。MCP集成便利云部署,382星评价稳定,是DBA工具箱必备项。

📚 实用指南(长尾问题)
适合谁
  • 需要让 Claude / Cursor 操作本地工具的 AI 工程师
  • 构建多智能体协作系统的 Agent 开发者
最佳实践
  • 配置 MCP 服务器时建议使用 stdio 传输 + JSON-RPC,避免暴露公网
  • Agent 任务先做 dry-run 验证工具调用链,再开启自主执行
常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • MCP 配置路径拼错或权限不足,重启 Claude Desktop 才生效
部署方案
  • CLI:直接 npm install -g / pip install,命令行调用
  • 云端托管:可放在 Vercel / Railway / Fly.io 等 PaaS 平台
相关搜索
PerformanceMonitor 中文教程PerformanceMonitor 安装报错怎么办PerformanceMonitor MCP 配置PerformanceMonitor Agent 工作流PerformanceMonitor 与同类工具对比PerformanceMonitor 最佳实践PerformanceMonitor 适合谁用

⚡ 核心功能

👥 适合谁
  • 需要让 Claude / Cursor 操作本地工具的 AI 工程师
  • 构建多智能体协作系统的 Agent 开发者
⭐ 最佳实践
  • 配置 MCP 服务器时建议使用 stdio 传输 + JSON-RPC,避免暴露公网
  • Agent 任务先做 dry-run 验证工具调用链,再开启自主执行
⚠️ 常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • MCP 配置路径拼错或权限不足,重启 Claude Desktop 才生效

👥 适合人群

Claude Desktop / Claude Code 用户AI 工具开发者需要扩展 AI 能力的专业人士自动化工程师

🎯 使用场景

  • 在 Claude Desktop 对话中直接调用本地工具,实现 AI 与系统的深度联动
  • 通过自然语言驱动复杂的多步骤自动化任务,代替繁琐手动操作
  • 将多个 MCP 工具组合使用,构建个人专属 AI 工作站

⚖️ 优点与不足

✅ 优点
  • +MIT 协议,可免费商用
  • +标准化 MCP 协议,生态互联性强
  • +与 Claude 官方生态无缝对接
  • +即插即用,配置简单快捷
⚠️ 不足
  • 依赖 Claude 客户端,非 Claude 用户无法使用
  • MCP 协议仍在持续演进,接口可能变更
  • 需要一定的配置步骤
⚠️ 使用须知

AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。

建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。

📄 License 说明

✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。

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❓ 常见问题 FAQ

工具设计用于SQL Server 2016及以上版本,包括云端Azure SQL和AWS RDS。
💡 AI Skill Hub 点评

总体来看,SQL Server性能监控工具 是一款质量优秀的MCP工具,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。

⬇️ 获取与下载
⬇ 下载源码 ZIP

✅ MIT 协议 · 可免费商用 · 直接从 aiskill88 服务器下载,无需跳转 GitHub

📚 深入学习 SQL Server性能监控工具
查看分步骤安装教程和完整使用指南,快速上手这款工具
🌐 原始信息
原始名称 PerformanceMonitor
原始描述 开源MCP工具:Free, open-source SQL Server performance monitoring — 32 collectors, real-time a。⭐382 · C#
Topics 数据库监控性能诊断SQL Server实时采集DBA工具
GitHub https://github.com/erikdarlingdata/PerformanceMonitor
License MIT
语言 C#
🔗 原始来源
🐙 GitHub 仓库  https://github.com/erikdarlingdata/PerformanceMonitor 🌐 官方网站  https://erikdarling.com/free-sql-server-performance-monitoring/

收录时间:2026-05-20 · 更新时间:2026-05-30 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。

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