"Git for Windows" matching MCP servers:

Read-only MCP server for diagnosing Windows crashes, stability, and gaming performance by reading event logs, crash dumps, hardware inventory, performance counters, and registry settings.

Enables LLMs to interact with Kibana through composable toolboxes for building dashboards, managing data, and handling alerts, among other operations.

An unofficial MCP server that connects AI assistants to Akamai APIs, providing tools for edge diagnostics, debugging, and network analysis.

Exposes Windows system information and control tools including hardware stats, network details, and process monitoring. It enables AI applications to retrieve real-time data about CPU, memory, drives, and active system processes.

Analyzes git repository metrics to understand team health, development patterns, code quality, and collaboration through natural language queries. Provides insights on commit statistics, bus factor, velocity trends, technical debt, and burnout detection.

Provides Windows system diagnostic capabilities to AI agents, allowing them to access event logs, crash information, system uptime, and perform stability analysis.

Enables AI agents to interact seamlessly with Splunk environments through 20+ tools for search, analytics, data discovery, administration, and health monitoring. Features AI-powered troubleshooting workflows and supports multiple Splunk instances with production-ready security.

Connect AI agents like Claude, Cursor, and Gemini to historical Windows performance and privacy data gathered by the AppControl Windows app. This server enables natural language queries into CPU, GPU, and temperature history alongside system security events for deep local auditing.

Bridges AI models with WinDbg to analyze Windows crash dumps and perform remote debugging through natural language queries, enabling execution of debugger commands and automated crash analysis.

Enables read-only observability of Windows systems, exposing CPU, memory, storage, service, and health information through Model Context Protocol tools.

Enables Git repository operations and real-time monitoring via MCP tools, with support for WebSocket events, authentication, and observability.

A Windows observability MCP server that lets AI agents inspect system health, processes, performance, hardware, and Windows diagnostics. WinKit provides real-time system data and diagnostic signals so AI agents can understand and troubleshoot Windows PCs.

Shows your current Claude Desktop activity as Discord Rich Presence, including model, status, usage, and subscription info.

An MCP server that converts Windows WPR .etl performance traces into structured JSON summaries and flamegraph-ready data for LLM analysis. It bridges Windows Performance Analyzer automation with LLM reasoning capabilities for performance troubleshooting.

Enables AI agents to access real-time Windows PC context including active window, system performance, screen time, productivity analytics, and historical usage through MCP tools.

Provides comprehensive macOS, Linux, and Windows system administration, diagnostics, and optimization tools including network inspection, security scanning, compliance auditing, database diagnostics, and structured DevOps task planning.

MCP server that exposes a single tool to retrieve ChatGPT/Codex quota via the signed-in Codex CLI, reporting rate-limit windows and usage percentages.

MCP server that transforms raw log query results into structured incident reports (Markdown, JSON, HTML) with correlation to git commits and tickets.

Exposes homelab and IT-ops tools to Claude, including system health monitoring, Grafana alert states, Docker container status, Loki logs, SMART disk health, and more.

Enables agents to autonomously investigate deployment health by inspecting Kubernetes resources, comparing live cluster state against Git, and correlating findings with Dynatrace problems.