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    maintenance
    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。
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Enables read-only querying of Azure Log Analytics and Azure Resource Graph through MCP, supporting KQL queries, workspace discovery, and resource inventory exploration with Azure RBAC authentication.
    5
    13 npm
    2
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Identifies resource-intensive processes on macOS across CPU, memory, and network usage, with tools for detailed process filtering and system overview.
    3
    23
    MIT
  • F
    license
    A
    quality
    A
    maintenance
    Enables read-only, cited lookups of official Zendesk content across the Help Center, developer/API docs, changelogs and release notes, and live service status and maintenance. It also reports whether a feature is current, beta, EAP, deprecated, or retired.
    7
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  • F
    license
    A
    quality
    B
    maintenance
    A local MCP server for read-only querying of AWS resources (Lambda, S3) via Boto3, currently exposing a health check tool with planned tools for listing resources and checking free tier.
    7
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    license
    B
    quality
    B
    maintenance
    A server that provides access to Alibaba Cloud resources including ECS, VPC, and CloudMonitor through API and OOS implementations, enabling resource management and monitoring via a unified interface.
    34
    134
    Apache 2.0
  • F
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    quality
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    maintenance
    Enables AI assistants to monitor and analyze industrial process data from DCS/SCADA systems via MCP protocol, with domain expert knowledge for anomaly detection and recommendations.
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    B
    maintenance
    Enables MCP clients to triage SOC alerts while enforcing a trust firewall across retrieval, memory, and privileged actions. It exposes tools for alerts, logs, memory, and alert actions, with defenses that refuse risky operations in the presence of attacker-controllable content.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables an AI assistant to retrieve IT system status and search or rebuild a vector-indexed knowledge base of operational runbooks. It supports local, tool-grounded responses over stdio for Ollama-based agents, helping prevent hallucinated IT operations guidance.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables querying Prometheus metrics, performing cluster diagnostics, and analyzing resource usage through natural language, with automatic Kubernetes connectivity.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Diagnoses web hosting and server issues by combining live HTTP, SSL, DNS, and security-header checks with a searchable knowledge base of troubleshooting notes, enabling MCP clients to investigate symptoms and explain root causes.
    MIT
  • F
    license
    Not graded
    quality
    C
    maintenance
    Enables read-only querying and analysis of Kibana logs through a logged-in sid Cookie, including keyword/time/index searches, traceId lookups, surrounding log context, and aggregations by service, level, or host. It also validates Kibana connection status and redacts sensitive fields such as cookies, tokens, and passwords.
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  • F
    license
    Not graded
    quality
    D
    maintenance
    An advanced system monitoring solution that uses unsupervised machine learning algorithms to detect abnormal resource usage patterns in real-time, with features including anomaly detection, process analysis, and Discord integration.
    2
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  • F
    license
    Not graded
    quality
    D
    maintenance
    MCP server for iTop ITSM that provides 19 tools for analytics, ticket management, comments, knowledge base, and CI impact analysis, enabling AI assistants to interact with iTop.
    1
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  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables autonomous infrastructure health management by exposing tools for retrieving system logs, querying a knowledge base, executing SQL analytics, and simulating system commands, all integrated into an AI-driven incident response workflow.
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