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  • A
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    A read-only MCP server that enables LLMs to inspect and analyze ROS 2 systems through natural language, covering nodes, topics, parameters, actions, rates, QoS, and environment health. It can run without ROS 2 installed and safely surfaces runtime system state for diagnosis.
    13
    1
    MIT
  • A
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    Enables AI agents to analyze ROS2 log files across multiple nodes by merging them into a unified timeline and providing smart query tools, without requiring ROS2 installation.
    11
    4
    MIT
  • A
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    C
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    A read-only MCP server for bounded semantic inspection of ROS 2 perception systems, enabling discovery and metadata extraction from sensors such as cameras, depth sensors, and LiDARs without device configuration or actuation.
    Apache 2.0
  • F
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    Enables AI agents to inspect and control a robotic VLA system via MCP, offering read-only tools for ROS topics, processes, tmux, and logs, as well as write tools for publishing prompts, issuing tmux commands, restarting services, and running shell commands inside containers.
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  • A
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    Provides read-only access to OpenFolio data, enabling catalog, holdings, grid, and log queries without placing orders.
    4
    9 npm
    MIT
  • A
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    A
    quality
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    Provides transactional intelligence for AI agents, enabling safe tool execution with pre-flight invariant checks, sub-second filesystem snapshots/rollback, causal tracing, belief contradiction detection, and 15 native MCP tools for Claude Code.
    15
    MIT
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    MCP server for RMS/Global Meteor Network stations. Enables remote inspection and management via SSH tunnels, with tools for status, detections, logs, config, and reprocessing under scoped access.
    MIT
  • A
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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.
    6
    MIT
  • -
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    Enables AI-powered debugging through structured logging with pattern recognition and intelligent analysis. Allows applications to write structured logs and receive actionable debugging insights based on error patterns and frequency analysis.
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