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LeadMCP

Agentic AI lead system for automotive dealership / rental demos. Multi-agent orchestration over MCP tools (CRM, inventory, calendar, communications) with mock adapters — no live Twilio/HubSpot required.

Quickstart

cp .env.example .env
npm install
npm run seed
npm run build
npm run dev:api   # terminal 1 — http://127.0.0.1:3100
npm run dev:ui    # terminal 2 — http://127.0.0.1:5173

Auth (required)

  • Protected routes need Authorization: Bearer $API_TOKEN or X-API-Key (dev default dev-leadmcp-token-change-me).

  • Demo UI sends this via VITE_API_TOKEN.

  • Chat continues a lead via signed sessionToken (not bare leadId unless admin).

  • Channel inbound needs X-LeadMCP-Signature: sha256=<hmac> or the API token.

  • Bookings/handoffs require explicit confirm (CONFIRM BOOK / CONFIRM HANDOFF or UI buttons).

Docker: docker compose up --build (binds 127.0.0.1 only).

Related MCP server: EVOKORE-MCP

Demo script

  1. Open the demo UI → Web chat.

  2. Qualify: I want to buy an SUV under $35000 this month, I'm Maya, maya@example.com

  3. Recommend: show me vehicle recommendations

  4. Book: ask to book, then click Confirm booking (or reply CONFIRM BOOK)

  5. Handoff: click Hand off to sales (or reply CONFIRM HANDOFF)

  6. Try Channels / voice for WhatsApp, email, and voice mocks

Works offline without OPENAI_API_KEY (deterministic agents). Set a key for LLM-assisted routing and replies. OPENAI_BASE_URL must be on the allowlist (HTTPS, no private hosts).

Repo layout

  • packages/shared — schemas, SQLite store, scoring, seed

  • packages/mcp-* — MCP tool servers (stdio + in-process)

  • apps/orchestrator — Fastify API + agents

  • apps/demo-ui — React console

  • docs/ — architecture, MCP design, workflows, deployment

Docs

Automotive-Lead-Vertical-

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