Nexscope

Amazon Marketplace Intelligence

Amazon Alexa Search MCP Tool

Initiate natural language Q&A through Amazon's storefront Alexa shopping assistant to get shopping guidance answers, recommended product groups, ASIN lists, and follow-up questions. Each call supports only 1 prompt; for follow-ups, the agent must summarize context and concatenate a new question for a new request. A url can be used to supplement Amazon page context.

MCP tool name
nexscope_amazon_alexa_search
Equivalent REST API path
https://api.nexscope.ai/api/skill-api/v1/skills/amazon-alexa-search/run
JSON-RPC method
tools/call

Authentication

Send the user API key as a bearer token on every MCP JSON-RPC request.

Authorization: Bearer nk-xxxxxxxxxxxxxxxxx

If authentication is missing or invalid, ask the user to open API Access and copy a valid key before calling this tool.

Call this MCP tool

Use tools/call with the MCP tool name below. The arguments object should match the table on this page.

{
  "jsonrpc": "2.0",
  "id": "amazon-alexa-search-1",
  "method": "tools/call",
  "params": {
    "name": "nexscope_amazon_alexa_search",
    "arguments": {
      "format": "markdown",
      "prompts": [
        "What are good phone cases for iPhone?"
      ]
    }
  }
}
REST API equivalent
POST https://api.nexscope.ai/api/skill-api/v1/skills/amazon-alexa-search/run
Canonical detail URL
https://www.nexscope.ai/mcp-map/amazon-alexa-search

Arguments

NameTypeRequiredMeaning
promptsarrayrequired
Conversation prompt array, supports only 1 entry. Each call accepts only 1 question. For follow-up questions, the agent must summarize key information from the previous response (recommended products, ASINs, key conclusions, etc.), concatenate it with the new question, and send it as a new prompts[0]. Each call is an independent new session and does not retain cross-call conversation history
Example: [ "What are good phone cases for iPhone?" ]
formatstringoptional
Response format: markdown (default) returns a readable report; json returns a structured data array
Example: {}
urlstringoptional
Linked page URL, used to supplement the page context of Alexa's current response. Only pass this when the user provides a specific page (category page / search results page / product detail page, etc.); do not pass this parameter for the Amazon homepage (e.g. https://www.amazon.com/)
Example: https://example.com/image.jpg

Response fields

Treat structuredContent as the programmatic API response payload.

NameTypeRequiredDescription
dataanyrequired
Data value used by this API operation.
codeintegerrequired
0 means accepted or successful; nonzero is a platform error.
msgstring | nullrequired
Msg value used by this API operation.
tsstringrequired
Epoch milliseconds.
timestringrequired
Server local time: yyyy-MM-dd HH:mm:ss.
coststringrequired
Elapsed milliseconds, never credits; -1 outside web requests.
traceIdstring | nullrequired
Trace id value used by this API operation.

Any of option 1

NameTypeRequiredDescription
dataobjectrequired
Data value used by this API operation.
data.products[].stdoutstringoptional
Markdown format Q&A report, containing each round's user question, Alexa answer, recommended products, and follow-up questions; only returned when format=markdown
Example: null
data.dataarrayoptional
Structured conversation result array; only returned when format=json
Example: []
data.resultsNumintegeroptional
Number of conversation rounds Alexa actually answered; 0 means no valid response was produced
Example: 1
data.products[].msg/errmsgstringoptional
Response message, ok on success
Example: null
data.costTimeintegeroptional
API latency in milliseconds
Example: 1
data.costTokenintegeroptional
Tokens consumed by this call; charged only if upstream succeeds
Example: 1
data.taskIdstringoptional
Task identifier returned by upstream
Example: example-id
data.typestringoptional
Render style: stdoutWorkbenches (markdown) or json
Example: null
data.data[].promptstringoptional
Prompt sent to Alexa for this round
Example: null
data.data[].contentstringoptional
Text content of Alexa's response for this round
Example: null
data.data[].screenshotstringoptional
Screenshot link for this round's conversation
Example: null
data.data[].followUpQuestionsarrayoptional
List of follow-up questions recommended by Alexa
Example: []
data.data[].productsarrayoptional
Recommended product group list, each group containing title and items
Example: []
data.products[].titlestringoptional
Recommended group title
Example: null
data.products[].items[].asinstringoptional
Product ASIN
Example: B072MQ5BRX
data.products[].items[].titlestringoptional
Product title
Example: null
data.products[].items[].urlstringoptional
Product detail page URL
Example: https://example.com/image.jpg
data.products[].items[].coverstringoptional
Product cover image URL
Example: null
data.products[].items[].pricestringoptional
Current price (with currency)
Example: null
data.products[].items[].originalPricestringoptional
Original or strikethrough price
Example: null
data.products[].items[].scorestringoptional
Rating
Example: null
data.products[].items[].ratingsCountstringoptional
Review count
Example: null
data.products[].items[].describestringoptional
Product description
Example: null
data.titlestringoptional
Provider-specific response title.
Example: null
data.sourceTypestringoptional
Provider-specific source platform type.
Example: null
data.sourceToolstringoptional
Provider-specific source tool name.
Example: null
data.pageintegeroptional
Current page returned by the upstream provider.
Example: null
data.pageSizeintegeroptional
Page size returned by the upstream provider.
Example: null
data.pageItemCountintegeroptional
Item count on the current page returned by the upstream provider.
Example: null
data.totalPageintegeroptional
Total page count returned by the upstream provider.
Example: null
data.dataSnapshotMonthstringoptional
Data snapshot month returned by the upstream provider.
Example: null

Any of option 2

NameTypeRequiredDescription
datanullrequired
Data value used by this API operation.

Examples

Example arguments

{
  "format": "markdown",
  "prompts": [
    "What are good phone cases for iPhone?"
  ]
}

Example structuredContent

{
  "data": {
    "data": [
      {
        "followUpQuestions": [],
        "products": []
      }
    ],
    "resultsNum": 1,
    "costTime": 1,
    "costToken": 1,
    "taskId": "example-id",
    "products": [
      {
        "items": [
          {
            "asin": "B072MQ5BRX",
            "url": "https://example.com/image.jpg"
          }
        ]
      }
    ]
  },
  "code": 0,
  "msg": null,
  "ts": "0",
  "time": "2026-01-01 00:00:00",
  "cost": "-1",
  "traceId": null
}