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AI Behind Story Generator

Generate comprehensive behind-the-scenes stories for products, services, and innovations. Discover the fascinating journeys, technical architectures, business models, and human stories behind everyday things.

stream· Stream resultOpen tool

Quick start

Call this tool from your code in three languages.

cURL
curl -X POST 'https://api.elysiatools.com/en/api/tools/ai-behind-story-generator' \
  -H 'Content-Type: application/json' \
  -d '{"productName":"Enter the product, service, or technology name you want to explore (e.g., WeChat, iPhone, ChatGPT, website, app, etc.)","storyType":"comprehensive","focusArea":"development","detailLevel":"detailed","timeframe":"complete","includeTechnical":true,"includeBusiness":true,"includeHuman":true,"language":"zh"}'

API reference

Send a POST request with your inputs as JSON. File parameters require a separate upload first.

Endpoint

HTTP
POST https://api.elysiatools.com/en/api/tools/ai-behind-story-generator

Parameters

NameTypeRequiredDescription
productNametextYesEnter the name of the product, service, technology, or innovation project whose behind-the-scenes story you want to know
storyTypeselectNoSelect the main type and narrative angle of the story
focusAreaselectNoSelect the core focus area of the story
detailLevelselectNoSelect the detail level and analytical depth of the story
timeframeselect

MCP integration

Add this tool to your Model Context Protocol server so AI agents can list and call it.

Server configuration

Add this block to your MCP client configuration:

mcp.json
{
  "mcpServers": {
    "elysiatools-ai-behind-story-generator": {
      "name": "ai-behind-story-generator",
      "description": "Generate comprehensive behind-the-scenes stories for products, services, and innovations. Discover the fascinating journeys, technical architectures, business models, and human stories behind everyday things.",
      "baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=ai-behind-story-generator",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

List available tools

After connecting to the SSE endpoint, list the exposed tools:

tools/list
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/list"
}

Call this tool

Invoke the tool by its id, passing arguments built from its parameters:

tools/call
{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "ai-behind-story-generator",
    "arguments": {
  "productName": "Enter the product, service, or technology name you want to explore (e.g., WeChat, iPhone, ChatGPT, website, app, etc.)",
  "storyType": "comprehensive",
  "focusArea": "development",
  "detailLevel": "detailed",
  "timeframe": "complete",
  "includeTechnical": true,
  "includeBusiness": true,
  "includeHuman": true,
  "language": "zh"
}
  }
}
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No
Select the time range and narrative focus of the story
includeTechnicalcheckboxNoWhether to include detailed technical architecture and implementation analysis
includeBusinesscheckboxNoWhether to include business model and market strategy analysis
includeHumancheckboxNoWhether to include team stories and human emotional content
languageselectNoSelect story output language

Response format

Stream result

JSON
data: {"chunk": "data: processed content 1", "type": "stream"}

data: {"chunk": "data: processed content 2", "type": "stream"}

data: {"type": "done"}
Chain multiple tools in one session with a comma-separated toolId list, e.g. /mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp (max 20).

Questions or issues? Contact [email protected]