lobstersearch

AI-native agentic commerce — 10 MCP tools to discover businesses, browse product catalogs with variants, and complete purchases with Stripe payments. Built for AI agents that shop on behalf of users.

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Install skill "lobstersearch" with this command: npx skills add theoddbrick/lobstersearch-mcp

LobsterSearch — Agentic Commerce

LobsterSearch is an agentic commerce platform. AI agents can discover businesses, browse real product catalogs with variant-level detail, and complete purchases with Stripe Connect payments — all through a single MCP endpoint.

MCP Server

Endpoint: https://mcp.lobstersearch.ai/mcp Transport: StreamableHTTP Authentication: None required (public, rate-limited)

Configuration

{
  "mcpServers": {
    "lobstersearch": {
      "url": "https://mcp.lobstersearch.ai/mcp",
      "transport": "streamable-http"
    }
  }
}

Tools (10 available)

Discovery

search

Search for businesses with natural language. Uses a 4-step fallback chain (structured → tags → LLM interpret → LLM catalog scan) for maximum recall.

Parameters:

  • query (string, required) — e.g. "best ramen in Bugis" or "dental clinic near Tanjong Rhu"
  • business_type (string) — filter by type (e.g., restaurant, salon)
  • city (string) — city name filter
  • limit (number) — 1-20, default 10

details

Get full business profile by slug or ID. Returns contact info, hours, quality scores, and catalog offerings with variants.

Parameters:

  • slug (string) — business slug (e.g., "tanjong-rhu-dental")
  • id (string) — business UUID

compare

Side-by-side comparison of 2-5 businesses.

Parameters:

  • business_ids (array, required) — 2-5 business UUIDs

Catalog

browse_catalog

Browse a business's product/service catalog. Filter by category, sort by name or price.

Parameters:

  • business_id (string, required) — business UUID
  • category (string) — filter by category
  • sort_by (string) — "name", "price_low", or "price_high"

get_product_details

Deep product view with all variant dimensions, combinations, prices, SKUs, and stock levels.

Parameters:

  • offering_id (string, required) — product/offering UUID

check_availability

Real-time stock check for a product or specific variant combination.

Parameters:

  • offering_id (string, required) — product/offering UUID
  • options (object) — variant options, e.g. {"Color":"Black","Size":"Large"}

Commerce

create_order

Create a draft order with atomic stock reservation. Items specified by offering + variant + quantity.

Parameters:

  • business_id (string, required)
  • items (array, required) — [{offering_id, variant_id?, quantity}]
  • customer_email (string) — for notifications
  • customer_name (string)
  • customer_notes (string)

confirm_order

Confirm draft order and generate Stripe Checkout payment link (30-min expiry).

Parameters:

  • order_id (string, required) — from create_order

get_order_status

Full status, payment state, fulfillment progress, and event timeline.

Parameters:

  • order_id (string, required)

cancel_order

Cancel with automatic refund (if paid) and stock restoration.

Parameters:

  • order_id (string, required)
  • reason (string)

Order Lifecycle

DRAFT → CONFIRMED → PAID → ACCEPTED → PREPARING → FULFILLED → COMPLETED

Cancellation with auto-refund available at any stage.

Key Design Principles

  • Every response includes next_actions — the agent always knows what to do next
  • Error responses include retry_guidance for agent resilience
  • Real-time stock with atomic reservation prevents overselling
  • Stripe Connect direct charges for secure payment processing
  • Businesses self-manage their data — catalog, pricing, and stock are always current

Usage Tips

  • Use search for most queries — it handles natural language and intent classification automatically
  • Use details after search to get the full profile for a specific business
  • Use browse_catalogget_product_detailscheck_availability to explore what's available
  • Use create_orderconfirm_order for the purchase flow
  • Use compare when the user wants to evaluate options side-by-side
  • Always reference next_actions in responses to guide the conversation

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