connected-vehicle-health
Retrieves vehicle telemetry data from Salesforce Asset and Vehicle_Telemetry__c objects, enabling health scoring, DTC decoding, and maintenance predictions for connected vehicles.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@connected-vehicle-healthcheck the health of vehicle with VIN 1HGCM82633A123456"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Connected Vehicle Health — MCP Server
An MCP server that exposes a connected-vehicle OBD-II / telematics platform to AI agents. It maps raw OBD-II PIDs and CAN signals into a rolled-up vehicle health score and provides tools for querying live data, decoding diagnostic trouble codes (DTCs), forecasting maintenance, and issuing gated remote commands.
The data layer is pluggable (src/provider.ts). Two backends ship:
salesforce(default) — live data from a Salesforce org's standardAssetobject (the vehicle; VIN inSerialNumber) joined to the customVehicle_Telemetry__cobject (VIN__c == Asset.SerialNumber).simulator— an in-memory mixed fleet (ICE, diesel, EV) with deterministic signals and injectable faults; zero external dependencies.
Select with VEHICLE_DATA_SOURCE=salesforce|simulator. The tool/resource layer is
identical for both.
Full reference: see
DOCUMENTATION.mdfor architecture, the complete tool/resource/type schema, the Salesforce field mapping, the scoring model, and extension points.
What it exposes
Tools
Tool | Type | Purpose |
| read | Enumerate the fleet with profile + last-seen |
| read | Overall + per-domain health score (0–100) |
| read | Snapshot of selected live PID / CAN values |
| read | Active stored / pending / permanent codes |
| read | Reproducible time-series for one PID |
| read | Explain a code: causes, symptoms, fixes |
| compute | Ranked component failure risks |
| action | Reset codes / MIL (requires |
| action | Remote lock/climate/immobilize (requires |
Resources
URI | Content |
| Make, model, year, powertrain, odometer |
| Latest health snapshot |
| Recent trips + behavior events |
| Fleet-wide health roll-up |
| DTC knowledge base |
Related MCP server: Vehicle Database MCP Server
Health model
Seven domains, each scored 0–100 and weighted into the overall score. EVs drop
emissions and fuel; the remaining weights are renormalized to 100%.
Domain | Weight | Driven by |
Powertrain | 25% | Misfires, timing, load |
Emissions | 15% | Lambda, catalyst temp, EGR |
Fuel | 12% | Short/long fuel trims |
Battery | 18% | 12V voltage/SoH, HV SoH, cell delta |
Thermal | 12% | Coolant, oil, HV pack temp |
Driveline | 10% | Trans temp, tire pressures |
DTC | 8% | Active code count + severity |
Overall status: good (≥80), attention (≥60), critical (<60).
Sparse sources score honestly. A domain is only scored when its signals are
present; domains with no data are omitted and the weights are renormalized over the
domains that were scored. So a Salesforce vehicle that reports only coolant temp,
battery %, tire pressure, and DTC codes is scored on thermal, battery, driveline,
and dtc — powertrain/emissions/fuel are simply not fabricated.
Salesforce integration
The salesforce backend reads the org directly with jsforce:
Canonical field | Salesforce source | Notes |
VIN |
| Drives vehicle identity |
Make / model / year | parsed from | e.g. |
Powertrain | inferred | EV if make is EV-only or |
Odometer |
| miles → km |
Coolant temp |
| °F → °C (omitted for EVs) |
Tire pressure |
| PSI → kPa (applied to all four) |
Battery |
| HV SoC for EVs; 12V proxy for ICE |
DTCs |
| comma/space-separated; decoded via the catalog |
The fleet is driven by the VINs present in Vehicle_Telemetry__c, so only vehicles
that actually report telemetry appear — unrelated Asset records are ignored.
Authentication (first match wins)
SF_ACCESS_TOKEN+SF_INSTANCE_URLSF_USERNAME+SF_PASSWORD(+SF_SECURITY_TOKEN,SF_LOGIN_URL)Salesforce CLI —
sf org display --target-org $SF_TARGET_ORG(default aliasvehicleHealth). Easiest for local dev; just be logged in viasf org login web.
See .env.example. An expired CLI session is refreshed automatically on the next query.
Actions on the Salesforce backend
Per-capability flags gate the two action tools:
Action | Salesforce | Behavior |
| enabled ( | Inserts a new |
| disabled ( | This org has no telematics command channel, so remote commands return a clear message and are not dispatched. |
Both actions are fully functional under the simulator backend.
Setup
Requires Node.js 18+.
cd connected-vehicle-mcp
npm install
npm run build # compile TypeScript to dist/Run directly during development (no build step):
npm run devInspect interactively with the MCP Inspector:
npm run inspectRegister with an MCP client
The server speaks stdio. Add it to your client config. For Cursor
(.cursor/mcp.json or the workspace .mcp.json):
{
"mcpServers": {
"connected-vehicle-health": {
"type": "stdio",
"command": "node",
"args": ["/Users/sarfaraz.nawaz/Dev/PruJap/connected-vehicle-mcp/dist/index.js"],
"env": {
"VEHICLE_DATA_SOURCE": "salesforce",
"SF_TARGET_ORG": "vehicleHealth"
}
}
}
}For Claude Desktop, add the same block to claude_desktop_config.json. To run
disconnected from an org, set "VEHICLE_DATA_SOURCE": "simulator".
Try it
Once connected to the org, ask the agent things like:
"List the fleet and show any vehicle with health under 80." (Camry is critical)
"Why is the check-engine light on for the 2018 Toyota Camry?" (reads + decodes DTCs)
"Show the coolant temperature history for the Accord." (
get_parameter_history)"Predict upcoming maintenance for the Camry." (overheat + misfire + low tires)
"Is the Model 3's battery degrading?" (surfaces
P0A80— replace hybrid battery pack)
Safety & security notes
This simulator is for development. Before pointing it at real vehicles:
Gate all actions.
clear_dtcsandsend_commandrequireconfirm=trueand are annotateddestructiveHint. Drive-affecting commands (immobilize/mobilize) should additionally require a second human approval and are always logged.Scope auth per VIN with short-lived tokens; never grant fleet-wide actuation by default.
Rate-limit and audit every action; the simulator keeps an in-memory command log as a stand-in.
Treat VIN, GPS, and driver identity as PII. Do not log to stdout (reserved for the MCP stream).
Project layout
src/
index.ts MCP server: tool + resource registration, stdio transport
provider.ts DataProvider interface + factory (salesforce | simulator)
salesforceProvider.ts Live org backend: Asset + Vehicle_Telemetry__c via jsforce
simulatorProvider.ts In-memory simulator backend
fleet.ts Deterministic signal simulator + fault injection
health.ts Domain scoring + predictive-maintenance rules
pids.ts OBD-II PID catalog (PID → unit → reader)
dtcCatalog.ts DTC knowledge base + classifier for decode_dtc
audit.ts In-memory action/command audit log
types.ts Shared domain typesMaintenance
Resources
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