A local-first, read-only MCP server for vehicle diagnostics that exposes structured OBD-II tools for reading PIDs, DTCs, and ECU snapshots without raw protocol access.
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.
A lightweight Bluetooth Low Energy debug MCP server for AI agents. It provides 21 tools for BLE scanning, connection, GATT read/write, descriptor access, MTU query, notification subscription, device recon, and engine diagnostics.
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.
Exposes a connected-vehicle OBD-II/telematics platform to AI agents, enabling vehicle health scoring, live data queries, DTC decoding, maintenance prediction, and gated remote commands via a pluggable data layer.