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"Red Hat" matching MCP servers:

  • F
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    quality
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    maintenance
    Enables management of oVirt / Red Hat Virtualization environments via AI assistants, supporting VM lifecycle, power operations, snapshots, and infrastructure queries.
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    Headless MCP server for Eclipse MAT that enables analyzing Java heap dumps using built-in commands, OQL queries, and predefined reports.
    6
    43
    24
    Apache 2.0
  • A
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    quality
    A
    maintenance
    Enables AI agents to read Grafana dashboards, alert rules, and query datasources (Prometheus, Loki, etc.) through MCP tools, integrating Grafana monitoring into the IDE.
    MIT
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    quality
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    maintenance
    A live post-mortem debugger MCP server for Home Assistant that lets AI agents list captured exceptions, walk traceback frames, read local variables, and optionally evaluate Python in the context of a captured frame for true post-mortem debugging.
    MIT
  • A
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    quality
    C
    maintenance
    An MCP server that exposes Home Assistant's REST and WebSocket APIs as 182 tools, enabling clients like Claude Code to control lights, climate, media, automations, and more. It also provides a status dashboard and supports running as a Home Assistant app or container.
    AGPL 3.0
  • A
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    quality
    B
    maintenance
    A secure MCP server for Grafana that provides read-only access by default, with a separate write-capable command for mutations.
    3
    MIT
  • A
    license
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    quality
    D
    maintenance
    Enables AI assistants to query and analyze data in Azure Data Explorer, Log Analytics, and Microsoft Sentinel using Kusto Query Language (KQL) through tools, resources, and prompts.
    5
    MIT
  • A
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    quality
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    maintenance
    Operates Rancher-managed Kubernetes through any MCP client with capability detection, generic resource access, and curated workflows, wrapped in an audit-logged, rate-limited, confirmation-guarded safety model.
    1
    MIT
  • F
    license
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    quality
    B
    maintenance
    MCP server that exposes WebSocket session management as tools, allowing AI agents to open persistent connections, send typed frames, drain buffered messages, and monitor per-frame Shannon entropy to detect schema divergence.