"Using RAG to Provide Documentation to LLMs" matching MCP servers:

Enables alarm investigation through MCP tools for asset search, metadata lookup, alarm retrieval, summarization, priority scoring, and operator recommendations, with RAG-backed evidence from procedure documents.

MCP Server for notify to telegram / weixin

这是面向智能运维场景的 MCP 工具服务，让 Agent 能够按需检索日志内容并获取主机与应用的监控指标数据。它把实时的日志与指标证据接入 Plan-Execute-Replan 诊断流程，从而支撑自动故障排查与根因分析。

Enables plant operators to query alarm data, asset information, trends, correlations, and operator recommendations through 14 tools, forming a core part of a multi-MCP enterprise operations copilot.

Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.

Enables security analysis of URLs, files, IPs, and domains using the VirusTotal API, with automatic fetching of relationship data to provide comprehensive reports.

An MCP server that enables LLMs to interact with IT Glue documentation, including organizations, configurations, passwords, and flexible assets. It provides tools for listing, creating, and updating managed service provider (MSP) data through the IT Glue API.

Enables LLMs to analyze Linux perf data files using 26 perf analysis commands, including report, script, annotate, and more, through typed tool parameters.

Analyzes AI agent traces to diagnose failures, score performance, and provide actionable fixes using tools like judge_trace and trace_breakdown.

A Model Context Protocol server that integrates with DeepSource to provide AI assistants with access to code quality metrics, issues, and analysis results.

Enables read-only interaction with NetBox network documentation and infrastructure data through LLMs. Allows querying devices, sites, IP addresses, and viewing change history via natural language.

Integrates with the SecurityScorecard API to provide security metrics, risk analysis, asset discovery, and remediation planning through natural language.

A Claude Code MCP server that connects to Laravel Clockwork to provide insights into application performance, database queries, errors, and request flow.

A server that analyzes website performance using Playwright and Lighthouse, allowing LLMs to perform web performance analysis through the Model Context Protocol.

Enables LLMs to capture, analyze, and summarize network traffic using Wireshark CLI tools, supporting live capture, pcap analysis, and LLM-oriented summaries.

This MCP server integrates with Sentio's API services to provide web, data, price, processor, and alerts tools, enabling users to manage and query Sentio resources through natural language.

MCP server that lets LLMs interact with a running Prometheus instance via its API, enabling metric analysis, PromQL queries, and rule/target inspection. It also provides embedded documentation and guided runbooks for common Prometheus tasks.

A comprehensive Model Context Protocol (MCP) server that integrates with the Cronlytic API to provide seamless cron job management through LLM applications like Claude Desktop.

Enables AI assistants and LLMs to query SigNoz observability data (metrics, traces, logs, alerts, dashboards) using natural language.

Integrates Sentry error monitoring with AI-powered analysis to automatically capture frontend JavaScript errors and provide intelligent repair suggestions through multiple AI models including OpenAI, Claude, and Gemini.