Amazon Insight at the Speed of a Question

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Give Your AI the Amazon Context It Is Missing

General-purpose AI can draft, summarize, organize, and analyze the information it has been given. But it cannot independently tell you why a competitor is gaining share, which price tiers are growing, who owns the keywords driving your category, or where new products are entering the market.

Jungle Scout MCP gives your approved AI platform a direct connection to the industry’s most comprehensive and accurate Amazon intelligence.

That means your team can receive answers grounded in real marketplace data across categories, competitors, brands, sellers, pricing, products, attributes, keywords, and performance.

Ask the Questions That Drive Growth

Start with one question, then continue the conversation to understand the factors behind the result.

Are we growing faster or slower than our category?
Which brands are gaining market share?
What is driving a change in our performance?
Which competitors are moving into our category?
Where are the strongest whitespace opportunities?
How should my brand compete on Amazon?
How should I price my product?
What are my pricing opportunities?
Which products and attributes are gaining traction?
Who owns the keywords influencing category demand?
Which sellers are active on our priority listings?
What should our team investigate next?
Are we growing faster or slower than our category?
Which brands are gaining market share?
What is driving a change in our performance?
Which competitors are moving into our category?
Where are the strongest whitespace opportunities?
How should my brand compete on Amazon?
How should I price my product?
What are my pricing opportunities?
Which products and attributes are gaining traction?
Who owns the keywords influencing category demand?
Which sellers are active on our priority listings?
What should our team investigate next?

From Question to Decision in Fewer Steps

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Ask in Plain English

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Receive a Data-Grounded Answer

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Investigate the Drivers

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Put the Answer to Work

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Amazon Intelligence for Every Team

Brand and Ecommerce Teams

Assess category performance, investigate changes in market share, identify assortment gaps, and understand the competitive factors influencing growth.

Category and Insights Teams

Size markets, analyze price tiers, evaluate whitespace, track emerging products, and identify where demand is moving.

Marketing and Advertising Teams

Understand keyword volume and share of voice, evaluate category visibility, and identify opportunities to strengthen product positioning.

Product and Innovation Teams

Analyze attributes, demand patterns, assortment gaps, and new product activity before prioritizing concepts or investments.

Sales and Account Teams

Prepare category and competitor summaries before customer meetings, QBRs, and planning conversations without waiting for a custom report.

Leadership Teams

Bring consistent Amazon marketplace intelligence into planning, reporting, investment decisions, and growth strategy.

Built on the most trusted Amazon intelligence in the market

Jungle Scout has spent more than a decade building the most comprehensive and accurate view of the Amazon marketplace — trusted by 40,000 active seller engagements and tracking 18% of Amazon’s GMV.

That depth of coverage — across categories, competitors, pricing, products, sellers, keywords, and market performance — is what makes the Amazon Growth Platform different. It doesn’t just surface information. It gives team a clear path from data to decision:

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1. Assess

Understand what’s happening in your market right now

category

TAM Market share Growth Expansion 1P/3P

Competitive

Revenue & share Pricing Share of voice Ad spend

Brand

Revenue Units Ad efficiency

2. Diagnose

Identify the root cause — not just the symptom

Awareness

Keyword trends Share of voice Ad spend

Conversion

Pricing PDP content Assortment Reviews

Sustainability

Margin health Ad efficiency TACOS

3. Act

Move with confidence on a clear, data-backed plan

Awareness

Win SoV Keyword automation External traffic Product innovation

Conversion & margin

PDP optimization Pricing Retail media

Events

Prime Day Peak Seasonal

Now close the loop with agentic action

Most teams use the MCP to pull data and surface insights. But connected to an agentic tool like Claude Cowork , it can also execute the next step — drafting a brief, updating a tracker, flagging an anomaly — without leaving the workflow.

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Growth opportunities

Frequently Asked Questions

What is Jungle Scout MCP? removeremove

Jungle Scout MCP connects Cobalt’s Amazon marketplace intelligence to approved AI platforms, allowing users to ask questions in plain English and receive answers grounded in real marketplace data.

It acts as the connection between the Amazon intelligence available through Cobalt and the AI tools your team already uses.

What does MCP stand for? removeremove

MCP stands for Model Context Protocol.

It provides a structured way for an AI platform to connect to an approved data source, retrieve relevant information, and use that context to support an answer or workflow.

Which AI platforms can Jungle Scout MCP work with? removeremove

Jungle Scout MCP is designed to work with AI platforms that support MCP connections, including tools such as Claude, ChatGPT, Gemini, Copilot, and approved custom or internal AI environments.

Availability and functionality may vary by platform and organizational configuration.

How do we get started? removeremove

New customers can submit the form to request a demo.

Existing Jungle Scout and Cobalt customers can also contact their CSM or account representative directly to learn more about availability, access, and recommended use cases.

What data can Jungle Scout MCP access? removeremove

Depending on your Cobalt subscription and data access, Jungle Scout MCP can support analysis across:

  • Market share and category growth
  • Brands and sellers
  • Products and ASINs
  • Pricing and price tiers
  • Keywords and share of voice
  • Product attributes
  • Brand performance
  • Connected sales and advertising data, where available
Does Jungle Scout MCP replace Cobalt? removeremove

No.

Cobalt remains the enterprise platform for investigating Amazon categories, competitors, products, pricing, keywords, sellers, and performance.

Jungle Scout MCP extends that intelligence into conversational AI, giving teams another way to access and apply Cobalt data within their existing workflows.

Do I need to be an existing Cobalt customer? removeremove

Jungle Scout MCP is powered by Cobalt’s Amazon marketplace intelligence.

New customers can request a demo to learn about the appropriate Cobalt and MCP solution for their organization.

Existing Jungle Scout or Cobalt customers can contact their Customer Success Manager or account representative to discuss eligibility, available capabilities, and next steps.

Can Jungle Scout MCP create reports and briefings? removeremove

Jungle Scout MCP provides access to the relevant Amazon intelligence.

Your selected AI platform may then use that data to help create summaries, scorecards, QBR materials, spreadsheets, alerts, planning documents, and other business outputs.

Available workflow functionality depends on the AI platform and your organization’s configuration.

Is the information generated by general-purpose AI? removeremove

The AI platform provides the conversational interface, analysis, and drafting experience.

The underlying Amazon marketplace context is retrieved from Cobalt through Jungle Scout MCP, allowing answers to be grounded in Jungle Scout data rather than general model knowledge alone.

The MCP surfaces data; but can it actually do something with it? removeremove
Yes, when paired with an AI Agent like Cowork, Anthropic’s desktop agent. The MCP finds the insight; Cowork acts on it — drafting a brief, posting a Slack alert, saving a report to Drive — without you coordinating each step. It’s the difference between knowing your competitor just gained 5 points of share and having your team already notified before the morning standup.

Bring Amazon Intelligence Into Your AI Workflow

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