Agentery pricing intelligence · MCP server profile · Menlo Labs Shopping
MCP server profile · independently tracked by Agentery

Menlo Labs Shopping
Shopping discovery for AI agents. Search for individual products or build curated shopping lists for a goal. Amazon.com is currently supported. search_product…
Agentery price verdictNo pricing observed
Connection modelMCP serverMCP clients
Last checked28 Jul 2026pricing & liveness
What it does
The specific capability behind this listing, and where to get it.
Shopping discovery for AI agents. Search for individual products or build curated shopping lists for a goal. Amazon.com is currently supported. search_products Find individual products matching a query. Use for a specific item or category; supports price and rating filters. build_product_kit Build a curated shopping list for a goal or theme. Use for setups, gift lists, starter kits, or multi-category recommendations.
MCPMCPautonomy: infrastructure
Official Menlo Labs Shopping links
Price status · observed daily
No public commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
MCP
Is Menlo Labs Shopping good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
No price benchmark
No public commercial pricing observed.
Agentery has not observed a public price for this provider. No price does not mean free.
Observed commercial pricenone
Hosting model—
Price benchmarknot applicable
What to compare instead
Check capability before deciding
Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "menlo_labs_shopping_mcp",
"name": "Menlo Labs Shopping",
"url": "https://menlolabs.dev/",
"logo": "https://agentery.com/logos/CP-44ECJ7-256.png",
"niche": "ai-shopping-assistant",
"category": "consumer-personal",
"short_summary": "Shopping discovery for AI agents. Search for individual products or build curated shopping lists for a goal. Amazon.com is currently supported.\n\nsearch_product…",
"task_performed": "Shopping discovery for AI agents. Search for individual products or build curated shopping lists for a goal. Amazon.com is currently supported.\n\nsearch_products\nFind individual products matching a query. Use for a specific item or category; supports price and rating filters.\n\nbuild_product_kit\nBuild a curated shopping list for a goal or theme. Use for setups, gift lists, starter kits, or multi-category recommendations.",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [
"MCP"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"general business"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public SaaS pricing was observed on the homepage.",
"confidence": "medium",
"source_url": "https://menlolabs.dev/",
"checked_at": "2026-07-26T04:52:15.530Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "medium",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://menlolabs.dev/"
],
"last_checked": "2026-07-12",
"how_to_connect": {
"website": "https://menlolabs.dev/",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 533,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:35:54.699Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}