SellerSprite MCP
Operate SellerSprite MCP through your OOMOL-connected account. This skill calls the sellersprite_mcp connector with the oo CLI; OOMOL injects credentials server-side, so you never handle raw tokens.
Running an action
Assume the user has already installed the oo CLI, signed in, and connected SellerSprite MCP. Do not run oo auth login or open the connection URL proactively — just run the action. Fall back to First-time setup only when a command actually fails with an auth or connection error.
1. Inspect the contract to get the authoritative input/output schema before building a payload:
oo connector schema "sellersprite_mcp" --action "<action_name>"
2. Run the action with a JSON payload that matches the input schema:
oo connector run "sellersprite_mcp" --action "<action_name>" --data '<json>' --json
--data takes a JSON object string or @path/to/file.json; omit it to send {}.- The response is
{ "data": ..., "meta": { "executionId": "..." } }; the execution id lives under meta.executionId.
Each action is listed below with a one-line description; actions that change state carry a [write] or [destructive] tag. Before constructing --data, fetch the action’s live schema with oo connector schema to get its authoritative input fields.
Available actions
aba_research_monthly — Research monthly Amazon Brand Analytics keywords using rank, search, click, conversion, and market-pattern filters.aba_research_trend — Retrieve weekly or monthly Amazon Brand Analytics trend data for one keyword.aba_research_weekly — Research weekly Amazon Brand Analytics keywords using rank, search, click, conversion, and market-pattern filters.asin_competitor — Retrieve competing products identified for one Amazon ASIN.asin_coupon_trend — Retrieve the historical coupon trend for one Amazon ASIN.asin_detail — Retrieve SellerSprite product, sales, ranking, price, review, and seller data for one Amazon ASIN.asin_detail_with_coupon_trend — Retrieve ASIN details together with the product’s historical coupon trend.asin_prediction — Retrieve SellerSprite sales predictions for one Amazon ASIN.asin_sales_trend — Retrieve the historical sales trend for one Amazon ASIN.bsr_prediction — Estimate Amazon product sales from a Best Sellers Rank and top-level category.call_tool — Call a current SellerSprite MCP tool with JSON arguments after inspecting its live schema and behavior annotations with list_tools.competitor_lookup — Find competing Amazon products by marketplace, category, brand, seller, ASIN, keyword, and product filters.google_trend — Retrieve Google Trends interest data for an Amazon marketplace keyword.keepa_info — Retrieve SellerSprite’s Keepa-style historical product trend data for one Amazon ASIN.keyword_conversion — Analyze Amazon keyword search, click, purchase, conversion, advertising, price, and budget performance.keyword_miner — Discover related Amazon keywords using search volume, purchase, competition, relevancy, PPC, price, and review filters.keyword_order — Reverse-search the weekly or monthly Amazon keywords that generated orders for selected ASINs. [write]keyword_research — Research Amazon keywords using search, purchase, competition, price, review, growth, PPC, and demand filters.keyword_research_trends — Retrieve the historical SellerSprite trend for one Amazon keyword.list_tools — Discover the current SellerSprite Amazon research and market-data MCP tools with their live input schemas and behavior annotations.market_brand_concentration — Retrieve brand concentration for one Amazon category market.market_ebc_distribution — Retrieve the A+ content and video distribution for one Amazon category market.market_listing_date_distribution — Retrieve the listing-age distribution for one Amazon category market.market_listing_trend_distribution — Retrieve Amazon market listing-trend distribution data using the supplied optional market filters.market_price_distribution — Retrieve the price distribution for one Amazon category market.market_product_concentration — Retrieve product concentration for one Amazon category market.market_product_demand_trend — Retrieve the product-demand trend for one Amazon category market.market_rating_distribution — Retrieve the star-rating distribution for one Amazon category market.market_ratings_count_distribution — Retrieve the review-count distribution for one Amazon category market.market_research — Research Amazon categories and market segments using demand, competition, concentration, fulfillment, seller, and new-product filters.market_research_statistics — Retrieve summary statistics for one Amazon category market.market_seller_concentration — Retrieve seller concentration for one Amazon category market.market_seller_country_distribution — Retrieve the seller-country distribution for one Amazon category market.market_seller_type_concentration — Retrieve the fulfillment and seller-type distribution for one Amazon category market.product_node — Find Amazon category nodes by marketplace, category path, keyword, or historical month.product_research — Research Amazon products using sales, revenue, price, ranking, review, fulfillment, brand, seller, and category filters.review — Retrieve Amazon reviews for one ASIN with optional star-rating and review-type filters.trademark_country_list — Retrieve the countries and trademark offices covered by SellerSprite’s global trademark database.trademark_detail — Retrieve one global trademark record by trademark office and SellerSprite brand ID.trademark_list — Search SellerSprite’s global trademark records by text, office, brand, status, applicant, class, and year filters.trademark_stats — Retrieve aggregate global trademark statistics for search text and selected trademark offices.traffic_extend — Expand the traffic keywords shared by a set of Amazon ASINs using search, purchase, competition, and conversion filters.traffic_keyword — Retrieve the search and conversion keywords that drive traffic to one Amazon ASIN.traffic_keyword_stat — Retrieve aggregate traffic-keyword statistics for one Amazon ASIN.traffic_listing — Retrieve Amazon listings related to selected ASINs by the requested traffic relationship types.traffic_listing_stat — Retrieve aggregate related-listing traffic statistics for selected Amazon ASINs.traffic_source — Trace Amazon keyword traffic from a query to the listings receiving that traffic.
Safety
- Untagged actions are reads (get / list / search) — safe to run directly.
- Actions tagged
[write] change SellerSprite MCP state — confirm the exact payload and effect with the user before running.
- Actions tagged
[destructive] remove or overwrite data — always confirm the target and get explicit approval first.
First-time setup
These are one-time steps — do not repeat them on every call. Run a step only when a command fails for the matching reason.
-
oo: command not found — install the oo CLI (other platforms: https://cli.oomol.com/install-guide.md):
curl -fsSL https://cli.oomol.com/install.sh | bash # macOS / Linux
irm https://cli.oomol.com/install.ps1 | iex # Windows PowerShell
-
Not signed in / authentication error — sign in to your OOMOL account once:
oo auth login
-
scope_missing / credential_expired / app_not_ready / app_not_found — SellerSprite MCP is not connected, or the connection expired or lacks a scope. Connect once (auth type: API key) at:
https://console.oomol.com/app-connections?provider=sellersprite_mcp
-
HTTP 402 / OOMOL_INSUFFICIENT_CREDIT — billing stop. Recharge at https://console.oomol.com/billing/token-recharge before retrying.
Resources
---
name: oo-sellersprite-mcp
description: "SellerSprite MCP (open.sellersprite.com). Use this skill for ANY SellerSprite MCP request — reading, creating, and updating data. Whenever a task involves SellerSprite MCP, use this skill instead of calling the API directly."
allowed-tools: [Bash(oo *)]
metadata:
title: "SellerSprite MCP"
author: "OOMOL"
version: "1.0.0"
services: ["sellersprite_mcp"]
icon: "https://static.oomol.com/logo/third-party/sellersprite_mcp.svg"
---
# SellerSprite MCP
Operate **SellerSprite MCP** through your OOMOL-connected account. This skill calls the `sellersprite_mcp` connector with the [oo CLI](https://github.com/oomol-lab/oo-cli); OOMOL injects credentials server-side, so you never handle raw tokens.
## Running an action
Assume the user has already installed the oo CLI, signed in, and connected SellerSprite MCP. **Do not run `oo auth login` or open the connection URL proactively — just run the action.** Fall back to [First-time setup](#first-time-setup) only when a command actually fails with an auth or connection error.
**1. Inspect the contract** to get the authoritative input/output schema before building a payload:
```bash
oo connector schema "sellersprite_mcp" --action "<action_name>"
```
**2. Run the action** with a JSON payload that matches the input schema:
```bash
oo connector run "sellersprite_mcp" --action "<action_name>" --data '<json>' --json
```
- `--data` takes a JSON object string or `@path/to/file.json`; omit it to send `{}`.
- The response is `{ "data": ..., "meta": { "executionId": "..." } }`; the execution id lives under `meta.executionId`.
Each action is listed below with a one-line description; actions that change state carry a `[write]` or `[destructive]` tag. Before constructing `--data`, fetch the action's live schema with `oo connector schema` to get its authoritative input fields.
## Available actions
- `aba_research_monthly` — Research monthly Amazon Brand Analytics keywords using rank, search, click, conversion, and market-pattern filters.
- `aba_research_trend` — Retrieve weekly or monthly Amazon Brand Analytics trend data for one keyword.
- `aba_research_weekly` — Research weekly Amazon Brand Analytics keywords using rank, search, click, conversion, and market-pattern filters.
- `asin_competitor` — Retrieve competing products identified for one Amazon ASIN.
- `asin_coupon_trend` — Retrieve the historical coupon trend for one Amazon ASIN.
- `asin_detail` — Retrieve SellerSprite product, sales, ranking, price, review, and seller data for one Amazon ASIN.
- `asin_detail_with_coupon_trend` — Retrieve ASIN details together with the product's historical coupon trend.
- `asin_prediction` — Retrieve SellerSprite sales predictions for one Amazon ASIN.
- `asin_sales_trend` — Retrieve the historical sales trend for one Amazon ASIN.
- `bsr_prediction` — Estimate Amazon product sales from a Best Sellers Rank and top-level category.
- `call_tool` — Call a current SellerSprite MCP tool with JSON arguments after inspecting its live schema and behavior annotations with list_tools.
- `competitor_lookup` — Find competing Amazon products by marketplace, category, brand, seller, ASIN, keyword, and product filters.
- `google_trend` — Retrieve Google Trends interest data for an Amazon marketplace keyword.
- `keepa_info` — Retrieve SellerSprite's Keepa-style historical product trend data for one Amazon ASIN.
- `keyword_conversion` — Analyze Amazon keyword search, click, purchase, conversion, advertising, price, and budget performance.
- `keyword_miner` — Discover related Amazon keywords using search volume, purchase, competition, relevancy, PPC, price, and review filters.
- `keyword_order` — Reverse-search the weekly or monthly Amazon keywords that generated orders for selected ASINs. [write]
- `keyword_research` — Research Amazon keywords using search, purchase, competition, price, review, growth, PPC, and demand filters.
- `keyword_research_trends` — Retrieve the historical SellerSprite trend for one Amazon keyword.
- `list_tools` — Discover the current SellerSprite Amazon research and market-data MCP tools with their live input schemas and behavior annotations.
- `market_brand_concentration` — Retrieve brand concentration for one Amazon category market.
- `market_ebc_distribution` — Retrieve the A+ content and video distribution for one Amazon category market.
- `market_listing_date_distribution` — Retrieve the listing-age distribution for one Amazon category market.
- `market_listing_trend_distribution` — Retrieve Amazon market listing-trend distribution data using the supplied optional market filters.
- `market_price_distribution` — Retrieve the price distribution for one Amazon category market.
- `market_product_concentration` — Retrieve product concentration for one Amazon category market.
- `market_product_demand_trend` — Retrieve the product-demand trend for one Amazon category market.
- `market_rating_distribution` — Retrieve the star-rating distribution for one Amazon category market.
- `market_ratings_count_distribution` — Retrieve the review-count distribution for one Amazon category market.
- `market_research` — Research Amazon categories and market segments using demand, competition, concentration, fulfillment, seller, and new-product filters.
- `market_research_statistics` — Retrieve summary statistics for one Amazon category market.
- `market_seller_concentration` — Retrieve seller concentration for one Amazon category market.
- `market_seller_country_distribution` — Retrieve the seller-country distribution for one Amazon category market.
- `market_seller_type_concentration` — Retrieve the fulfillment and seller-type distribution for one Amazon category market.
- `product_node` — Find Amazon category nodes by marketplace, category path, keyword, or historical month.
- `product_research` — Research Amazon products using sales, revenue, price, ranking, review, fulfillment, brand, seller, and category filters.
- `review` — Retrieve Amazon reviews for one ASIN with optional star-rating and review-type filters.
- `trademark_country_list` — Retrieve the countries and trademark offices covered by SellerSprite's global trademark database.
- `trademark_detail` — Retrieve one global trademark record by trademark office and SellerSprite brand ID.
- `trademark_list` — Search SellerSprite's global trademark records by text, office, brand, status, applicant, class, and year filters.
- `trademark_stats` — Retrieve aggregate global trademark statistics for search text and selected trademark offices.
- `traffic_extend` — Expand the traffic keywords shared by a set of Amazon ASINs using search, purchase, competition, and conversion filters.
- `traffic_keyword` — Retrieve the search and conversion keywords that drive traffic to one Amazon ASIN.
- `traffic_keyword_stat` — Retrieve aggregate traffic-keyword statistics for one Amazon ASIN.
- `traffic_listing` — Retrieve Amazon listings related to selected ASINs by the requested traffic relationship types.
- `traffic_listing_stat` — Retrieve aggregate related-listing traffic statistics for selected Amazon ASINs.
- `traffic_source` — Trace Amazon keyword traffic from a query to the listings receiving that traffic.
## Safety
- Untagged actions are reads (get / list / search) — safe to run directly.
- **Actions tagged `[write]` change SellerSprite MCP state — confirm the exact payload and effect with the user before running.**
- **Actions tagged `[destructive]` remove or overwrite data — always confirm the target and get explicit approval first.**
## First-time setup
These are **one-time** steps — do not repeat them on every call. Run a step only when a command fails for the matching reason.
- **`oo: command not found`** — install the oo CLI (other platforms: <https://cli.oomol.com/install-guide.md>):
```bash
curl -fsSL https://cli.oomol.com/install.sh | bash # macOS / Linux
```
```powershell
irm https://cli.oomol.com/install.ps1 | iex # Windows PowerShell
```
- **Not signed in / authentication error** — sign in to your OOMOL account once:
```bash
oo auth login
```
- **`scope_missing` / `credential_expired` / `app_not_ready` / `app_not_found`** — SellerSprite MCP is not connected, or the connection expired or lacks a scope. Connect once (auth type: API key) at:
```text
https://console.oomol.com/app-connections?provider=sellersprite_mcp
```
- **HTTP 402 / `OOMOL_INSUFFICIENT_CREDIT`** — billing stop. Recharge at `https://console.oomol.com/billing/token-recharge` before retrying.
## Resources
- SellerSprite MCP homepage: https://open.sellersprite.com/mcp
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