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  • A
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    quality
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    Talk to AWS CLI from an MCP-speaking agent. Run any aws <service> <operation> command through the Model Context Protocol, with read-only defaults and gated write access.
    MIT
  • A
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    quality
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    Connects AI assistants to AWS infrastructure through AWS IAM Identity Center for secure, natural language management of cloud resources across multiple accounts. It enables users to execute AWS CLI commands, monitor resources, and run remote shell commands on EC2 instances via Systems Manager.
    550
    15
    ISC
  • A
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    An MCP server that lets AI assistants inspect and control Asterisk and FreeSWITCH PBX systems, enabling natural language queries about live switch status, channels, registrations, and call control.
    10
    265
    2
    MIT
  • A
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    quality
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    Enables users to interact with container registries through the ORAS CLI, providing information about container images, platforms, and signatures via natural language queries.
    7
    Apache 2.0
  • A
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    quality
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    An MCP server that allows users to ping other hosts to check network connectivity and diagnostic information. It enables LLMs to perform network latency tests and host availability checks through a standardized interface.
    MIT
  • A
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    quality
    B
    maintenance
    Wraps multiple cloud CLIs (AWS, GCP, Azure, OCI) into a unified command interface and exposes them as MCP tools for AI assistants.
    14
    MIT
  • A
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    quality
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    MCP server for remote machine operations via SSH, providing a single tool to execute any shell command on remote machines with real-time progress streaming.
    24
    MIT
  • A
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    quality
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    Automates AWS EBS volume initialization via AWS Systems Manager, supporting multi-instance parallel execution and real-time progress tracking.
    1
    MIT
  • A
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    quality
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    maintenance
    Enables retrieval, setting, and detailed information lookup of EPICS process variables (PVs) for monitoring and controlling hardware or software parameters.
    MIT
  • A
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    quality
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    maintenance
    Enables AI assistants to execute AWS CLI commands and retrieve service documentation through the Model Context Protocol. It supports Unix pipes for output filtering and provides pre-defined prompt templates for common cloud management tasks.