5 Amazon Research Workflows You Can Run Inside Claude Using SellerSprite MCP (With Real Prompt Examples)

2026-07-17

SellerSprite MCP × Claude · 2026

5 Amazon Research Workflows You Can Run Inside Claude Using SellerSprite MCP

No more switching tabs, exporting CSVs, or copy-pasting screenshots into chat. Once you connect SellerSprite to Claude via MCP, every prompt below becomes a live Amazon research query — run directly from your conversation.

Niche Finder

Rev. ASIN

Competitor

Keyword Trends

Keyword List

What SellerSprite MCP Actually Does Inside Claude

MCP — Model Context Protocol — is the open standard that lets Claude talk directly to external data sources, tools, and APIs. Before MCP, using Claude for Amazon research meant pasting screenshots, uploading CSV files, or manually typing in data you'd pulled from another tab. Claude was smart, but blind to your actual market data.

With SellerSprite MCP connected, Claude gains live access to SellerSprite's entire Amazon intelligence database — product details, BSR tracking, keyword search volumes, reverse ASIN lookups, competitor analysis, trend data powered by Keepa, and ABA (Amazon Brand Analytics) research. Instead of a brilliant assistant who needs everything handed to it, you get one that can look things up itself, in real time, the moment you ask.

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What changes when MCP is connected Without MCP: you open SellerSprite, run a query, read the results, switch to Claude, describe what you found, ask for analysis. With MCP: you type a question in Claude. It calls SellerSprite, gets the live data, and gives you the analysis — all in one response. The research step and the thinking step merge into a single conversation turn.

The five workflows below each include the exact prompt to copy and paste into Claude once your MCP connection is active. Swap the bracketed placeholders for your own category, ASIN, or keyword, and you're running live Amazon research from inside a conversation.

Workflow 01

Low-Competition Niche Finder

Find high-demand, winnable product niches using plain-language filters

The hardest part of product research isn't finding products — it's filtering out the thousands of saturated options to find the few where a new entrant can realistically rank. This prompt uses SellerSprite's Product Finder with 16+ dimensions and turns it into a conversational filter you can refine in real time.

📋 Copy this prompt into Claude

Claude — SellerSprite MCP connected

👤

Use SellerSprite to find me 5 low-competition product niches in the [home and kitchen / fitness / beauty / YOUR CATEGORY] category on Amazon.com. I want niches where: monthly search volume is above 5,000, the top 3 sellers have fewer than 300 reviews, average selling price is between $20 and $60, and the trend is stable or growing over the last 6 months. For each niche, show me the estimated monthly sales volume, average BSR, competition score, and why you think it's an opportunity.

← Claude queries SellerSprite Product Finder in real time and returns 5 validated niches with full data breakdown — no manual filtering required.

What you get back

Monthly search volume Top-seller review counts Estimated monthly sales BSR range Competition score 6-month trend signal Why it's an opportunity

Workflow 02

Reverse ASIN Keyword Extraction

Extract every keyword a competitor ranks for — in one question

SellerSprite's Reverse ASIN tool captures all keywords that drove a product into the top 3 pages of Amazon search results in the past 30 days. A top seller can extract over 1,000 keywords from ten competitor ASINs in under five minutes using this approach — work that would take days manually. This prompt gives you that data and then asks Claude to immediately filter it for the highest-value opportunities.

📋 Copy this prompt into Claude

Claude — SellerSprite MCP connected

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Use SellerSprite's Reverse ASIN tool on [B08XYZ12345]. Show me the top 30 keywords this product ranks for organically. For each keyword include: monthly search volume, organic ranking position, estimated traffic share, and whether it also appears in sponsored results. Then identify the top 10 keywords with the best combination of high search volume and a ranking position below #10 — these are the gap opportunities for a competing product to target.

← Claude calls SellerSprite Reverse ASIN, retrieves live ranking data, and performs the gap analysis — returning a prioritised keyword list with clear rationale for each recommendation.

🎯

Pro tip — run it on multiple ASINs at once SellerSprite MCP supports up to 20 ASINs in a single Reverse ASIN call. Add this to the prompt: "Also run this on [ASIN2] and [ASIN3] and show me keywords all three products rank for that I don't currently target — these are your highest-priority gap terms."

What you get back

Top ranking keywords Organic positions Traffic share % Sponsored vs organic Gap keyword shortlist Priority ranking

Workflow 03

Competitor Side-by-Side Comparison

Compare multiple competitors across every key dimension in seconds

Manually comparing competitors means opening 4–5 browser tabs, pulling data from each, building a spreadsheet, and hoping nothing changed between when you looked at the first and last tab. This prompt builds the full comparison table from live SellerSprite data in one step — and then asks Claude to interpret it, not just display it.

📋 Copy this prompt into Claude

Claude — SellerSprite MCP connected

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Use SellerSprite to compare these three competitor ASINs side by side: [ASIN1], [ASIN2], [ASIN3]. For each product show me: current BSR, estimated monthly units sold, estimated monthly revenue, average selling price, total review count, average review rating, price history over the last 90 days, and any BSR rank changes in the last 30 days. After the table, give me your analysis: which competitor is the most vulnerable and why, and what would a new entrant need to do to compete in this space?

← Claude retrieves live data for all three ASINs simultaneously from SellerSprite, builds the comparison, and adds analytical commentary — the equivalent of a 60-minute manual research session in under 30 seconds.

What you get back

BSR by product Est. monthly units + revenue Price + price history Review count + rating 30-day BSR movement Competitive analysis Entry strategy insight

SellerSprite exclusive

Run These Prompts Yourself — Activate SellerSprite MCP Today

All five workflows require an active SellerSprite account with API access. Start your free 3-day trial, get your MCP secret key, and connect to Claude in under 10 minutes.

Use code SSAM35 for 30% off any plan

Get SellerSprite + Run These Prompts →

Free 3-day trial · No credit card required · Cancel anytime

Workflow 04

Keyword Trend Analysis with Google Trends Integration

Know whether a keyword is rising, falling, or seasonal before you commit

Entering a declining category is one of the most common — and expensive — product research mistakes. This prompt layers SellerSprite's keyword trend data with Google Trends integration to give you a 12-month demand picture before you decide whether a niche has runway. It also flags seasonal patterns, which directly affects your inventory planning and launch timing.

📋 Copy this prompt into Claude

Claude — SellerSprite MCP connected

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Use SellerSprite to analyse the keyword trend for "[your keyword or niche]" over the last 12 months on Amazon.com. Show me: monthly search volume by month, trend direction (growing / stable / declining), any clear seasonality patterns, and the peak and trough months. Then cross-reference this with Google Trends data for the same term and tell me: is the Amazon demand trend consistent with broader consumer interest? Is this a growing niche worth entering now, a seasonal opportunity that needs careful launch timing, or a declining market to avoid?

← Claude queries SellerSprite keyword trend data and Google Trends simultaneously, aligns the two datasets, and gives you a clear demand-trajectory verdict with the supporting evidence.

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Use this before committing to any product Add this to the follow-up: "If this is seasonal, what is the ideal month to launch in order to be established before the peak window — and how much lead time do I need if I'm sourcing from Asia?" Claude can calculate launch timing from trend data and a sourcing lead time you specify.

What you get back

12-month volume by month Trend direction verdict Seasonality pattern Peak / trough months Google Trends correlation Enter / avoid recommendation

Workflow 05

Full Keyword List with Volume, Competition and Related Terms

Build a complete keyword master list for any niche in one prompt

Building a keyword master list the manual way — seeding a spreadsheet, expanding each term, checking volume and competition individually, de-duplicating, sorting — takes several hours even with a dedicated tool. This prompt collapses that entire process into a single Claude conversation using SellerSprite's keyword discovery, expansion, and mining tools. The output is a structured list ready to inform your listing, PPC campaigns, and backend keywords simultaneously.

📋 Copy this prompt into Claude

Claude — SellerSprite MCP connected

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Use SellerSprite's keyword research tools to build me a complete keyword list for a product in the [your niche — e.g. "bamboo cutting board"] category on Amazon.com. Start with keyword expansion from the seed term, then mine related and long-tail terms. For every keyword include: monthly search volume, competition score, and keyword conversion rate where available. Organise the output into three groups: Priority keywords (high volume, lower competition — for title and first bullet), Supporting keywords (mid-volume, good conversion signal — for remaining bullets and A+ Content), and Backend keywords (long-tail, low competition — for the backend search terms field). Remove duplicates and flag any keywords with a strong seasonal spike.

← Claude runs seed expansion and keyword mining via SellerSprite, assembles the full list, scores and categorises each term, and flags seasonal outliers — returning a structured, copy-paste-ready keyword master list.

What you get back

Full keyword list Search volume per term Competition score Keyword conversion rate Priority / Supporting / Backend split Seasonal flags

Chaining Workflows into One Full Research Session

Each of the five workflows above works standalone. But where the MCP setup really compounds is when you chain them inside a single Claude conversation — using the output of one prompt as the input to the next, without ever leaving the chat.

Example: full launch research in one 20-minute Claude conversation

Turn 1

Run Workflow 1 to find 5 low-competition niches in your target category. Pick the best one based on Claude's analysis.

Turn 2

Run Workflow 4 on the winning niche's primary keyword to confirm trend direction and identify the best launch month.

Turn 3

Ask Claude: "Give me the top 5 selling ASINs in this niche from your earlier research." Then run Workflow 2 on those ASINs to extract all their ranking keywords.

Turn 4

Run Workflow 3 on the top 3 competitor ASINs to understand their revenue, review velocity, and pricing dynamics.

Turn 5

Run Workflow 5 using the seed keyword from Turn 1 to build your full keyword master list — incorporating the gap terms found in Turn 3.

Turn 6

Final summary prompt: "Based on everything we've researched in this conversation, give me a go / no-go recommendation on this product and a 90-day launch plan if we proceed."

Claude retains the full context of the conversation — so every subsequent turn builds on everything discovered earlier. By Turn 6, Claude has your niche validation, trend analysis, competitor intelligence, keyword gap data, and a full keyword master list in context and can synthesise all of it into a coherent launch recommendation without you needing to copy anything between steps.

ABA Keyword Research Prompts

SellerSprite MCP also supports ABA (Amazon Brand Analytics) keyword research — available in both weekly and monthly formats for sellers with Brand Registry access. ABA data gives you real Amazon search term report data, not estimates, making it some of the highest-accuracy keyword intelligence available on the platform.

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Weekly ABA Prompt

"Using SellerSprite's ABA weekly data, show me the top 25 search terms buyers used to find products in [category] on Amazon.com in the most recent week. Include search frequency rank and click share for each term."

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Monthly ABA Prompt

"Use SellerSprite's ABA monthly report for [keyword]. Compare this month's search frequency rank to 3 months ago and tell me if this term is gaining or losing traction in buyer search behaviour."

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ABA + Reverse ASIN Combo

"Run ABA reverse search on [ASIN1] and [ASIN2]. Cross-reference with their organic keyword rankings from SellerSprite Reverse ASIN. Identify any high-frequency ABA terms they rank for organically but aren't targeting in their listing copy."

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ABA access requirement ABA data requires Amazon Brand Registry. If you're not yet brand-registered, the first five workflows above work fully without it. Brand Registry is worth pursuing once your first product is live — ABA access alone materially improves keyword research accuracy and the MCP prompts for it are ready the moment you qualify.

How to Connect SellerSprite MCP to Claude

The connection takes under 10 minutes and requires no coding. Here's the exact process.

→ MCP setup: SellerSprite + Claude Desktop

Download Claude Desktop

Go to claude.com/download and install Claude Desktop for Mac or Windows. MCP connectors require the desktop app — the browser version of Claude does not support custom MCP connections.

Get your SellerSprite MCP secret key

Log in to your SellerSprite account and navigate to the MCP integration page. Your unique secret key is displayed there — copy it. This key authenticates Claude's access to your SellerSprite data. Keep it private.

https://open.sellersprite.com/mcp/37

Add the connector in Claude Desktop

In Claude Desktop: click your username (bottom-left) → Settings → Connectors → Add Custom Connector. Fill in: Name: sellersprite-mcp

URL: https://mcp.sellersprite.com/mcp?secret-key=YOUR_SECRET_KEY_HERE

Test the connection

Start a new Claude conversation and type: "Use SellerSprite to look up the BSR and estimated monthly sales for ASIN B08N5WRWNW on Amazon.com." If you get live data back, the connection is working. You're ready to run all five workflows above.

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SellerSprite

Get Your MCP Secret Key + Activate Your Account

The prompts in this article only work with an active SellerSprite subscription. Start a free 3-day trial — no credit card required — and get your MCP secret key to connect to Claude immediately. Use code SSAM35 for 30% off when you upgrade to a paid plan.

Frequently Asked Questions

Do I need a paid SellerSprite account to use these MCP prompts?+

Yes. SellerSprite MCP requires an active SellerSprite subscription to authenticate API calls. You can start with a free 3-day trial to test the connection and run the prompts — but ongoing use requires a paid plan. Use code SSAM35 for 30% off any plan at sellersprite.ai/affiliate/SSAM35.

Does SellerSprite MCP work with ChatGPT as well as Claude?+

MCP is an open standard, so the SellerSprite MCP server is compatible with any AI client that supports the Model Context Protocol — including Claude, ChatGPT (with MCP support), Cursor, and others. However, the setup process in this article specifically covers Claude Desktop, which offers the simplest MCP configuration experience with no coding required. Claude is also generally considered the strongest model for analytical reasoning on structured data.

Is my SellerSprite data safe when connected to Claude via MCP?+

The MCP connection is read-only — Claude retrieves data from SellerSprite but cannot write to, modify, or delete any SellerSprite data. Your secret key authenticates the session and should be kept private. The connection does not share your personal seller account data, order history, or Seller Central credentials — only the Amazon market intelligence data that SellerSprite makes available through its API.

Can I customise these prompts for different Amazon marketplaces?+

Yes. SellerSprite MCP covers all major Amazon marketplaces. Add the marketplace to any prompt — for example, "on Amazon.co.uk" or "on Amazon.de" — and Claude will query SellerSprite's data for that marketplace specifically. This is particularly useful for sellers running Pan-EU FBA who want to validate demand and competition across UK, Germany, France, Italy, and Spain simultaneously.

What is the difference between SellerSprite MCP and just using SellerSprite's own interface?+

SellerSprite's own web interface is excellent for structured, step-by-step research with visual dashboards. MCP adds a different mode: natural language queries that cross multiple SellerSprite tools in a single question, conversational follow-up without switching screens, automatic synthesis of data across multiple ASINs or keywords, and chaining multiple research steps in one flowing conversation. They're complementary — many sellers use both depending on the task.