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.
Enables LLMs to decode Vehicle Identification Numbers and look up vehicle makes, models, years, and specifications offline using a curated NHTSA vPIC database.
CarVector is a Model Context Protocol server that gives AI agents real vehicle data — specifications and representative images, federal recall campaigns, and OBD-II DTC reference — instead of hallucinating them. Open-source client (npx -y carvector-mcp), authenticated with your own key; free tier, no credit card. Four tools: search_vehicles, get_vehicle, get_recalls, lookup_dtc.
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.
