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://claw-callback.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 /api/skill-api/v1/runhttps://claw-callback.nexscope.ai/api/skill-api/v1/skills/amazon-alexa-search/run

Canonical detail URL

https://www.nexscope.ai/mcp-map/amazon-alexa-search

Arguments

Name	Type	Required	Meaning
`prompts`	`array`	required	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?" ]
`format`	`string`	optional	Response format: markdown (default) returns a readable report; json returns a structured data array Example: {}
`url`	`string`	optional	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.

Name	Type	Required	Meaning
`products[].stdout`	`string`	optional	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: {}
`data`	`array`	optional	Structured conversation result array; only returned when format=json Example: []
`resultsNum`	`integer`	optional	Number of conversation rounds Alexa actually answered; 0 means no valid response was produced Example: 1
`code`	`string`	optional	Business status code, "200" on success (same as numeric errcode) Example: {}
`errcode`	`integer`	optional	Business status code (HTTP layer is generally 200; use this field to determine business success/failure) Example: 1
`products[].msg/errmsg`	`string`	optional	Response message, ok on success Example: {}
`costTime`	`integer`	optional	API latency in milliseconds Example: 1
`costToken`	`integer`	optional	Tokens consumed by this call; charged only if upstream succeeds Example: 1
`taskId`	`string`	optional	Task identifier returned by upstream Example: example-id
`type`	`string`	optional	Render style: stdoutWorkbenches (markdown) or json Example: {}
`data[].prompt`	`string`	optional	Prompt sent to Alexa for this round Example: {}
`data[].content`	`string`	optional	Text content of Alexa's response for this round Example: {}
`data[].screenshot`	`string`	optional	Screenshot link for this round's conversation Example: {}
`data[].followUpQuestions`	`array`	optional	List of follow-up questions recommended by Alexa Example: []
`data[].products`	`array`	optional	Recommended product group list, each group containing title and items Example: []
`products[].title`	`string`	optional	Recommended group title Example: {}
`products[].items[].asin`	`string`	optional	Product ASIN Example: B072MQ5BRX
`products[].items[].title`	`string`	optional	Product title Example: {}
`products[].items[].url`	`string`	optional	Product detail page URL Example: https://example.com/image.jpg
`products[].items[].cover`	`string`	optional	Product cover image URL Example: {}
`products[].items[].price`	`string`	optional	Current price (with currency) Example: {}
`products[].items[].originalPrice`	`string`	optional	Original or strikethrough price Example: {}
`products[].items[].score`	`string`	optional	Rating Example: {}
`products[].items[].ratingsCount`	`string`	optional	Review count Example: {}
`products[].items[].describe`	`string`	optional	Product description Example: {}
`errmsg`	`string`	optional	Upstream status message returned by the provider. Example: {}
`msg`	`string`	optional	Provider-specific status message. Example: {}
`message`	`string`	optional	Provider-specific message. Example: {}
`title`	`string`	optional	Provider-specific response title. Example: {}
`sourceType`	`string`	optional	Provider-specific source platform type. Example: {}
`sourceTool`	`string`	optional	Provider-specific source tool name. Example: {}
`page`	`integer`	optional	Current page returned by the upstream provider. Example: {}
`pageSize`	`integer`	optional	Page size returned by the upstream provider. Example: {}
`pageItemCount`	`integer`	optional	Item count on the current page returned by the upstream provider. Example: {}
`totalPage`	`integer`	optional	Total page count returned by the upstream provider. Example: {}
`dataSnapshotMonth`	`string`	optional	Data snapshot month returned by the upstream provider. Example: {}

Examples

Example arguments

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

Example structuredContent

{
  "data": [
    {
      "followUpQuestions": [],
      "products": []
    }
  ],
  "resultsNum": 1,
  "errcode": 1,
  "costTime": 1,
  "costToken": 1,
  "taskId": "example-id",
  "products": [
    {
      "items": [
        {
          "asin": "B072MQ5BRX",
          "url": "https://example.com/image.jpg"
        }
      ]
    }
  ]
}