"Resources or information on analysis techniques or methods" matching MCP servers:

HandaaS的MCP服务器，提供全域资讯搜索、企业新闻、行业资讯、主题跟踪和企业动态监控能力，帮助用户开展行业研究和舆情分析。

Provides access to real-time LLM pricing, speed metrics, and performance benchmarks for over 300 models from Artificial Analysis. It enables users to list, filter, and compare models based on costs, tokens per second, and intelligence indices.

Provides comprehensive statistical analysis tools for industrial data including time series analysis, correlation calculations, stationarity tests, outlier detection, causal analysis, and forecasting capabilities. Enables data quality assessment and statistical modeling through a FastAPI-based MCP architecture.

Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.

Collects page performance metrics using Playwright, CDP, and Lighthouse, and returns a normalized PerformanceReport.

MCP server for On-Call Health burnout analysis. Connects AI assistants to your on-call data for workload insights.

Enables AI assistants to analyze OpenReplay session recordings for user behavior patterns, problem detection, and actionable insights through session search, journey analysis, and AI-powered summaries.

Enables generating on-chain attestations of agent service performance across Ethereum, Polygon, Arbitrum, Optimism, and Base, plus audit trail retrieval, attestation verification, and price lock lookup.

MCP server that diagnoses ML model regressions by correlating drift reports, eval runs, and deploy logs, providing evidence-cited incident reports through a set of investigation tools.

Enables comprehensive ransomware threat analysis through 25+ tools that interact with ransomware.live API. Provides real-time data on ransomware groups, victims, negotiations, IOCs, and attack trends for cybersecurity investigation and monitoring.

Enables AI assistants to search Elasticsearch logs, retrieve log details, analyze service health, scan local codebases for APIs, and create Kibana dashboards.

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.

Deploys 25 MCP tools for Apache Doris, enabling SQL execution, metadata queries, monitoring, and data governance over HTTPS via AWS Bedrock AgentCore Runtime.

Enables an MCP client such as Claude to inspect a Mac's battery, memory, CPU, GPU, disk, and most energy-hungry apps, and to shut down, restart, sleep, or lock the screen now or on a schedule with a cancellable 60-second grace period.

Checks MCP servers by URL, npm package, or official MCP Registry search, reporting availability, response speed, exposed tools, resources, and prompts. It flags changes since prior runs as breaking, warning, or info using saved snapshots.

Enables AI agents to perform instant SEO, performance, and security audits of any website through the Model Context Protocol. It provides comprehensive analysis without requiring API keys or configuration.

Enables observation-only system inspection through MCP, exposing system identity, resources, process summary, and network summary without any mutation or command execution.

Enables interaction with Google Analytics 4 to manage accounts, run standard or realtime reports, and validate event parameters. It supports dual authentication methods and integrates with GTM for end-to-end data collection orchestration.

A task manager's view of a Windows or Linux PC for AI assistants: processes, per-core CPU and who ran on it, disks and the files they serve, network connections and DNS lookups, GPUs, sensors, services, stutters and a 7-day history. Actions (ending or suspending processes, controlling services, memory dumps) are allowed kind by kind, and it runs locally over stdio or on 127.0.0.1 only.

Provides read-only monitoring, inspection, and root-cause analysis of Azure Data Factory resources, including factories, pipelines, and pipeline runs, through MCP tools.

A minimal MCP server that exposes health-check and server information tools over stdio or HTTP, and can be containerized and deployed to IBM Code Engine.

Enables AI agents to investigate Splunk exports or live queries using deterministic detectors and an iterative analysis loop, all running locally without data leaving the machine.

Enables diagnosing Kubernetes clusters without creating or changing cluster objects, with tools to inspect health, workloads, events, storage, RBAC, custom resources, logs, and configuration.

Enables interaction with the Admina API to manage and query organizational SaaS resources including devices, user identities, service integrations, and account information across multiple services.

Enables querying Wazuh 5 agents, groups, cluster status, MITRE techniques, events, findings, and vulnerability state through the manager and indexer APIs, with optional agent restart when read-only mode is disabled.

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

Enables management of App Store Connect resources including app reviews, TestFlight crashes, analytics reports, and Xcode Cloud workflows through natural language or AI agents.

Enables AI assistants to manage multi-cloud resources (AWS, Azure, GCP) including resource operations, cost analysis, monitoring metrics, and security compliance checks through natural language commands.

Enables interaction with Foreman infrastructure management platform through MCP tools, prompts, and resources. Supports querying host information, security updates, and accessing Foreman data via natural language.

Enables querying timestamped, receipt-backed facts about paid x402 AI-agent services on Base, including unpaid probes and paid test-buys with on-chain transaction hashes. Also supports comparing measured providers by reliability, price, or latency.

Enables AI agents to browse N-able N-central RMM data such as org unit hierarchies, devices, assets, lifecycle and service status, active issues, scheduled tasks, custom properties, maintenance windows and access groups. On explicit request it also performs writes — running scripts or automation policies on a device, changing custom properties or lifecycle data, adding or deleting maintenance windows, and creating device or org unit access groups.

Enables automated analysis of Woodpecker CI pipeline failures with intelligent error detection and fix suggestions. Supports both direct pipeline analysis and IDE-integrated git-context analysis using repository names, PR numbers, or branch information.

Enables interaction with EPICS (Experimental Physics and Industrial Control System) process variables through natural language. Supports reading PV values, setting PV values, and retrieving detailed PV information for monitoring and controlling hardware or software parameters.

Enables operators and MCP clients to perform read-only, multi-cluster Kubernetes diagnostics by correlating deployment inventory, approved Prometheus metrics, firing alerts, and reusable troubleshooting skills without executing cluster commands or modifying workloads. It exposes tools, resources, and prompts for deployment health checks, metric queries, alert inspection, and skill discovery.

Enables retrieval, setting, and detailed information lookup of EPICS process variables (PVs) for monitoring and controlling hardware or software parameters.

Enables local analysis of classic libpcap capture files through MCP tools covering DNS, DHCP, ICMP, TCP connections, anomalies, retransmissions, traffic flows, SIP calls, and capture summaries without network access or API keys.

Enables on-call database diagnostics: it classifies load pressure, traces root causes with hypothesis-evidence-confidence, detects blocking and lock chains, scores health across a dimension tree, and renders deliverable incident reports. Works from symptom text alone with no database connection or history required (Tier0), escalating to snapshot-based and trend-based analysis as observations accumulate.

Provides Claude AI assistants with focused monitoring tools for n8n workflow execution analysis, including active workflow listing, execution history with KPIs, and detailed failure information.