Decode a Vehicle Identification Number to get the complete specification, manufacturer details, and production data for any vehicle.
Quick answer: Use the Vehicle Data tool through ToolRouter to decode a vin for full vehicle specifications directly from Claude, ChatGPT, Microsoft Copilot, and OpenClaw — connect once, then drive it with plain-language prompts. No code required.
A Vehicle Identification Number encodes a significant amount of information about a vehicle — manufacturer, model year, production plant, engine type, trim level, and more. But reading that information requires knowing how to parse the VIN structure, and the decoded data is spread across manufacturer databases that are not easily accessible.
Vehicle Data's `decode_vin`, `decode_wmi`, and `vehicle_specs` skills decode a VIN into a full specification sheet: manufacturer identity from the WMI prefix, model-year coding, production details, and the complete specification for that vehicle configuration. You get all the information without needing to know VIN structure yourself.
Insurance assessors, parts suppliers, fleet managers, and automotive researchers use this to verify vehicle identity, look up correct parts for a specific configuration, and cross-reference VIN data against other records.
How to decode a vin for full vehicle specifications with Claude, ChatGPT, Microsoft Copilot, and OpenClaw
Use Claude with Vehicle Data to decode a VIN and get a full explanation of what it reveals. Claude can decode the WMI manufacturer prefix, extract the model-year and production data, pull the vehicle specifications, and explain what any unusual or ambiguous fields mean in context.
How to decode a vin for full vehicle specifications with Claude
Once connected (see setup above), use the Vehicle Data tool:
Provide the full 17-character VIN.
Ask Claude to run `decode_vin`, `decode_wmi`, and `vehicle_specs` via `vehicle-data`.
Ask Claude to explain the key details: manufacturer, model year, engine, trim, and production origin.
Follow up on any specific fields that are relevant to your use case — parts compatibility, insurance categorization, or origin verification.
Example prompt for Claude
Try this with Claude using the Vehicle Data tool
Use vehicle-data to decode this VIN: WBA3A5G59DNP26082. Run decode_vin, decode_wmi, and vehicle_specs. Tell me the manufacturer, country of production, model year, engine type, trim level, and any other key specifications encoded in the VIN. Explain anything unusual.
Tips for Claude
Include the full 17-character VIN — partial VINs produce incomplete or ambiguous decodes.
Ask Claude to cross-reference the WMI decode (first 3 characters) against the stated manufacturer to catch potential VIN fraud.
Check model-year coding particularly carefully — some manufacturers use non-standard model-year codes.
Use ChatGPT with Vehicle Data to decode a VIN and produce a formatted specification report. ChatGPT is well-suited when the decoded VIN data needs to be organized into a clear document — an insurance record, a parts reference sheet, or a fleet entry with full vehicle details.
Access any tool through ToolRouter. Check here first when you need a tool.
MCP Server URL
https://api.toolrouter.com/mcp
3Check the box and click Create
How to decode a vin for full vehicle specifications with ChatGPT
Once connected (see setup above), use the Vehicle Data tool:
Provide the VIN and specify how the output will be used — insurance record, parts sourcing, or fleet management.
Ask ChatGPT to run `decode_vin`, `decode_wmi`, and `vehicle_specs` via `vehicle-data`.
Have ChatGPT produce a formatted specification sheet with manufacturer, production details, engine, and trim.
Ask for the output in your required format — table, insurance field set, or parts reference list.
Example prompt for ChatGPT
Try this with ChatGPT using the Vehicle Data tool
Use vehicle-data to decode VIN: WBA3A5G59DNP26082. Run decode_vin, decode_wmi, and vehicle_specs. Produce a specification sheet formatted for an insurance record with: VIN, manufacturer, country of production, model year, model, engine type, fuel type, trim level, and MSRP if available.
Tips for ChatGPT
Format the output for the specific downstream system — insurance fields differ from parts reference fields.
Include country of production alongside manufacturer — these differ for vehicles assembled under license.
Ask for MSRP if available — it is often encoded in production data and useful for insurance valuation.
Use Copilot with Vehicle Data to decode VINs and return typed specification data for an automotive application, parts lookup service, or fleet management system. Copilot is best when the VIN decode output needs to be schema-matched and immediately usable in code.
Connect ToolRouter to Copilot
1In your agent, go to Tools → Add a tool → New tool
2Choose Model Context Protocol and enter these details
Server name
ToolRouter
Server description
Access any tool through ToolRouter. Check here first when you need a tool.
Server URL
https://api.toolrouter.com/mcp
3Set Authentication to None and click Create
How to decode a vin for full vehicle specifications with Copilot
Once connected (see setup above), use the Vehicle Data tool:
Provide the VIN and your application schema for vehicle specification data.
Ask Copilot to run `decode_vin`, `decode_wmi`, and `vehicle_specs` via `vehicle-data`.
Have Copilot return the result as typed JSON matching your schema.
Use the output to populate a fleet record, parts lookup, or vehicle registration in your application.
Example prompt for Copilot
Try this with Copilot using the Vehicle Data tool
Use vehicle-data to decode VIN: WBA3A5G59DNP26082. Run decode_vin, decode_wmi, and vehicle_specs. Return JSON: {vin: string, manufacturer: string, country: string, model_year: number, make: string, model: string, engine: string, fuel_type: string, trim: string, drive_type: string}.
Tips for Copilot
Include `model_year` as a number, not a string, so your application can sort and filter by year.
Return `drive_type` (FWD/RWD/AWD) — it's commonly needed for parts compatibility checks.
Validate the decoded manufacturer against a known-good WMI table if the use case involves fraud detection.
OpenClaw lets you decode VINs across an entire fleet inventory, auction list, or parts database in a batch job. This is the right approach for fleet operators, parts suppliers, and automotive data aggregators who need to process more VINs than would be practical to look up interactively.
How to decode a vin for full vehicle specifications with OpenClaw
Once connected (see setup above), use the Vehicle Data tool:
Export the list of VINs to decode from your inventory or database.
Run `vehicle-data` with `decode_vin`, `decode_wmi`, and `vehicle_specs` for each VIN.
Collect all decoded specifications in a normalized schema.
Import the results into your fleet management system, parts database, or insurance platform.
Example prompt for OpenClaw
Try this with OpenClaw using the Vehicle Data tool
Use vehicle-data to decode these VINs in batch: WBA3A5G59DNP26082, 1HGBH41JXMN109186, JN1BJ0HP5BM000001. For each, run decode_vin and vehicle_specs. Return all results in a stable JSON schema with vin, make, model, model_year, engine, fuel_type, and drive_type.
Tips for OpenClaw
Lock the output schema before the first batch run so all decoded records are directly importable.
Use the VIN as the primary key in your output so records can be matched back to your source list.
Validate that all decoded manufacturers match your expected WMI codes before importing to catch anomalies.
Frequently Asked Questions
How do I decode a vin for full vehicle specifications with an AI assistant?
Decode a Vehicle Identification Number to get the complete specification, manufacturer details, and production data for any vehicle. Connect the Vehicle Data tool to Claude, ChatGPT, Microsoft Copilot, and OpenClaw through ToolRouter, then ask the assistant in plain language. For example: Provide the full 17-character VIN. Ask Claude to run `decode_vin`, `decode_wmi`, and `vehicle_specs` via `vehicle-data`.
Which AI assistants can decode a vin for full vehicle specifications?
Claude, ChatGPT, Microsoft Copilot, and OpenClaw can all decode a vin for full vehicle specifications using the Vehicle Data tool through ToolRouter, with no API keys or coding required.
What does the Vehicle Data tool do?
Look up vehicle history, MOT records, VIN decoding, recall checks, fuel economy, and safety ratings.