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imsnawaz

connected-vehicle-health

by imsnawaz

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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI-powered automotive diagnostics by connecting LLMs to vehicle ECUs over UDS/CAN, indexing workshop manuals locally, and augmenting with web search, while enforcing a human-in-the-loop approval gate for any write operations.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to access vehicle data from the DIMO Network, including querying telemetry, executing vehicle commands (lock/unlock, charging), decoding VINs, minting vehicle NFTs, and creating verifiable credentials.
      2
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to decode VINs, check stolen vehicle databases, and retrieve market valuations through natural language.
      2
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables LLMs to interact with vehicle CAN bus and OBD-II data through a simulated ECU environment. Provides tools for reading frames, decoding messages via DBC files, monitoring signals, and querying automotive diagnostics without requiring physical hardware.
      16
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables LLMs to decode Vehicle Identification Numbers and look up vehicle makes, models, years, and specifications offline using a curated NHTSA vPIC database.
      8
      MIT

    TDQS

    A4/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool has a distinct purpose: vehicle listing, health scoring, DTC management (decode, get, clear), parameter history, live PIDs, maintenance prediction, and remote commands. No overlap.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case, e.g., list_vehicles, get_dtcs, send_command. No mixing of conventions.

    Tool Count5/5

    Nine tools is well-scoped for a vehicle health domain covering diagnostics, health monitoring, historical data, live data, predictions, and commands. Not over- or under-tooled.

    Completeness5/5

    The tool surface covers the full lifecycle: vehicle discovery, health assessment, DTC handling (get, decode, clear), parameter history, live readings, predictive maintenance, and remote commands. No obvious gaps for the stated purpose.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues