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.
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
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
E2B
Using MCP to run code via e2b.