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connected-vehicle-health

by imsnawaz

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 standard Asset object (the vehicle; VIN in SerialNumber) joined to the custom Vehicle_Telemetry__c object (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.md for architecture, the complete tool/resource/type schema, the Salesforce field mapping, the scoring model, and extension points.

What it exposes

Tools

Tool

Type

Purpose

list_vehicles

read

Enumerate the fleet with profile + last-seen

get_vehicle_health

read

Overall + per-domain health score (0–100)

read_live_pids

read

Snapshot of selected live PID / CAN values

get_dtcs

read

Active stored / pending / permanent codes

get_parameter_history

read

Reproducible time-series for one PID

decode_dtc

read

Explain a code: causes, symptoms, fixes

predict_maintenance

compute

Ranked component failure risks

clear_dtcs

action

Reset codes / MIL (requires confirm=true)

send_command

action

Remote lock/climate/immobilize (requires confirm=true)

Resources

URI

Content

vehicle://{vin}/profile

Make, model, year, powertrain, odometer

vehicle://{vin}/health

Latest health snapshot

vehicle://{vin}/trips

Recent trips + behavior events

fleet://summary

Fleet-wide health roll-up

dtc://catalog

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 dtcpowertrain/emissions/fuel are simply not fabricated.

Salesforce integration

The salesforce backend reads the org directly with jsforce:

Canonical field

Salesforce source

Notes

VIN

Asset.SerialNumber

Drives vehicle identity

Make / model / year

parsed from Asset.Name

e.g. 2019 Honda Accord

Powertrain

inferred

EV if make is EV-only or Engine_Temp_F__c ≈ 0

Odometer

Vehicle_Telemetry__c.Odometer_Miles__c

miles → km

Coolant temp

Engine_Temp_F__c

°F → °C (omitted for EVs)

Tire pressure

Tire_Pressure_PSI__c

PSI → kPa (applied to all four)

Battery

Battery_Percent__c

HV SoC for EVs; 12V proxy for ICE

DTCs

DTC_Codes__c

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)

  1. SF_ACCESS_TOKEN + SF_INSTANCE_URL

  2. SF_USERNAME + SF_PASSWORD (+ SF_SECURITY_TOKEN, SF_LOGIN_URL)

  3. Salesforce CLIsf org display --target-org $SF_TARGET_ORG (default alias vehicleHealth). Easiest for local dev; just be logged in via sf 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

clear_dtcs

enabled (supportsClearDtcs)

Inserts a new Vehicle_Telemetry__c snapshot carrying the latest readings with DTC_Codes__c emptied and a current timestamp. This becomes the newest reading, so subsequent reads report no active codes — a scan-tool-style clear that never mutates history. Requires confirm=true.

send_command

disabled (supportsRemoteCommands)

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 dev

Inspect interactively with the MCP Inspector:

npm run inspect

Register 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_dtcs and send_command require confirm=true and are annotated destructiveHint. 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 types
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