carkeeper-mcp

carkeeper-mcp

Enables ChatGPT to run live CarKeeper vehicle checks, full purchase analyses, and multi-car comparisons using real report data, with optional paid report checkout tools.

Category
Visit Server

README

CarKeeper ChatGPT MCP integration

This project connects ChatGPT to the live CarKeeper report engine.

What it exposes

  • check_vehicle — runs the real CarKeeper engine for a registration.
  • analyse_purchase — runs the full CarKeeper buying report with price, advert text and optional images.
  • compare_vehicles — runs CarKeeper on 2–5 cars and ranks them by the Buyer Score returned by the live report.
  • start_full_report_checkout — optional/private tool that creates the existing £9.99 CarKeeper WooCommerce checkout.
  • get_report — optional/private tool that reads status/text for an existing paid report.

The commerce tools are disabled by default because the current public Plugin Directory form says digital-goods commerce is not supported. They can still be enabled in Developer Mode for private testing.

Architecture

ChatGPT -> MCP server -> protected CarKeeper Render endpoint -> DVLA/DVSA/Check Car Details/web/OpenAI

Optional private purchase path: ChatGPT -> MCP server -> WordPress REST bridge -> existing WooCommerce checkout/report flow

1. Patch the Render report engine

Use the supplied carkeeper-report-engine-plugin version of the backend. It keeps /generate-report unchanged for the website and adds:

POST /plugin/generate-report

This route requires:

Authorization: Bearer <CARKEEPER_PLUGIN_TOKEN>

Add CARKEEPER_PLUGIN_TOKEN to the Render service environment.

2. Configure this MCP server

Copy .env.example to .env and set the SAME CARKEEPER_PLUGIN_TOKEN value.

For public/plugin testing, leave:

CARKEEPER_ENABLE_COMMERCE_TOOLS=false

3. Install and run

npm install
npm start

The MCP endpoint is:

http://localhost:8787/mcp

4. Test locally

npx @modelcontextprotocol/inspector@latest

Connect Inspector to http://localhost:8787/mcp using Streamable HTTP.

5. Connect to ChatGPT Developer Mode

Expose port 8787 using an HTTPS tunnel such as ngrok and use:

https://YOUR-TUNNEL/mcp

as the app's MCP URL.

Optional: existing £9.99 checkout flow

Install carkeeper-chatgpt-api.php as a small WordPress plugin. Add this constant somewhere secure in WordPress configuration:

define('CK_CHATGPT_API_TOKEN', 'a-long-random-secret');

Set the same value as CARKEEPER_WP_API_TOKEN on the MCP server and set:

CARKEEPER_ENABLE_COMMERCE_TOOLS=true

for private Developer Mode testing only.

The bridge uses the existing CarKeeper report creation, checkout token restoration, £9.99 WooCommerce product and paid-report storage rather than creating a second payment system.

Security

Never commit .env, OpenAI keys, Check Car Details keys, DVLA keys or shared plugin tokens. Generate long random secrets for both shared tokens.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured