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ChatGPT Apps SDK
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:rocket: AutoAgent – A ChatGPT App for Real-Time Vehicle Inventory Search & Dealership Automation

App name: AutoAgent
One-liner: A ChatGPT-powered automotive agent that searches real dealership inventory, compares vehicles, and automates lead workflows using MCP + Apps SDK.

Who it’s for / Problem it solves

AutoAgent serves both auto dealership teams and everyday car shoppers, solving major pain points on both sides of the buying journey.

For dealerships, AutoAgent unifies fragmented systems—inventory tools, CRM portals, OEM dashboards, spreadsheets, and website lead forms—into a single conversational interface inside ChatGPT. Sales teams get instant access to real-time inventory, vehicle details, and lead routing without switching between multiple outdated systems. This cuts response times, reduces manual lookup, and keeps teams focused on customers instead of software.

For consumers, car shopping is often overwhelming: too many filters, inconsistent listings, complex trim names, buried package details, and third-party sites with stale data. AutoAgent turns the experience into a natural conversation—ask “show me trucks under $40K,” “compare these two VINs,” or “which trims have Apple CarPlay?” and get accurate results directly from a dealership’s live inventory. It feels like having a knowledgeable salesperson available on demand.

Key features

  • :magnifying_glass_tilted_left: Search Vehicles (MCP Tool) — Real-time inventory search via MarketCheck + custom dealership APIs

  • :bar_chart: Vehicle Results Widget — Interactive browsing UI inside ChatGPT

  • :receipt: VIN Comparison + Trim Insights

  • :postbox: Lead Submission Tool — Sends leads to CRM or email

  • :gear: Diagnostic Tools — pingUi, pingMicroUi, and status checks

  • :locked_with_key: Secure environment handling for dealership partners

  • :brain: Dealer dashboard for internal analytics (Next.js)

How it uses the Apps SDK

AutoAgent integrates deeply with the ChatGPT Apps SDK:

  • MCP connector (Node.js/Express + TypeScript)

  • App manifest referencing MCP tools + widget endpoints

  • Custom widget UI for vehicle browsing and comparisons

  • ui:ready and global state synchronization

  • ChatGPT-driven multi-step workflows for search → compare → lead submission

This lets ChatGPT act as an intelligent automotive assistant powered by real dealership data.

Stack & tools

  • Next.js 15 (App SDK manifest + dealer dashboard)

  • Node.js / TypeScript MCP server (Express)

  • Supabase (database + auth)

  • Docker (containerization)

  • Railway / Cloudflare (planned hosting)

  • MarketCheck API (inventory + VIN decoding)

Links

We’ll be sharing the repo and public deployment soon after finalizing our production MCP endpoint + manifest wiring.

Anything you’d love feedback on

We’re particularly interested in:

  • MCP CORS best practices (HEAD/OPTIONS handling, strict origins)

  • Patterns for widget → ChatGPT global state sync (set_globals, ack_globals)

  • Recommended hosting setups for stable MCP production use

  • Tools/connector structuring within larger monorepos

  • Any examples of high-performing real-time data apps in the Apps SDK

We’ll continue updating this thread as AutoAgent progresses.
Excited to see what everyone else is building!