For AI agents
Give AI agents dependable product judgment.
Connect Buyary through MCP to give assistants structured product intelligence, evidence-backed recommendations, comparisons, and purchase capabilities.
General-purpose models are excellent conversationalists.
They’re not product intelligence systems.
Without structured evidence they may:
- recommend outdated products
- miss category-specific tradeoffs
- hallucinate comparisons
- lack citations
- fail to personalize recommendations
What Buyary adds.
MCP tools.
Resolve natural-language queries to catalog products.
Side-by-side synthesis across candidates.
Composite scores with expert/user/value consensus.
Grounded answers to specific product questions.
Match products to a buyer's stated priorities.
Citations back to original sources.
Live offers with tracked, monetizable links.
Eligible purchases share revenue with your app.
A shopping workflow, end to end.
“I’m looking for a quiet robot vacuum for hardwood floors under $600.”
Goal-aware recommendations.
Same product. Different buyer.
The evidence is constant; the weighting isn’t. Buyary’s recommendations re-rank criteria around each buyer’s stated priorities.
Purchase-ready responses.
Every recommendation can include:
Revenue sharing: build shopping agents, earn revenue from eligible purchases. Learn more →
Compatible with.
Common questions.
Which agent frameworks are supported?
Any framework that supports the remote HTTP MCP transport can connect to Buyary. Claude Desktop and Claude Code have documented setup guides; other MCP-capable frameworks such as Cursor, OpenAI Agents, LangGraph, CrewAI, and AutoGen are protocol-compatible and can connect using the same server details.
How does Buyary reduce unsupported product matches?
Buyary grounds lookups in its published product catalog. When a lookup does not meet the required matching threshold, the tool returns found: false with possible alternatives instead of guessing which product the user intended.
Can my agent connect recommendations to purchase options?
Buyary responses can include current purchase options and tracked links where available. Completing a transaction remains subject to the retailer and the capabilities of the surrounding agent experience.
How much tool surface does this add?
Two tools: get_product_intelligence for a single product and get_product_intelligence_batch for several at once. Keeping the surface small helps an agent select the right tool reliably.