Multimodal AI
Multimodal Image Recognition API MCP Tool
Analyze and extract information from images using multimodal AI recognition. When a user provides an image URL and asks questions about its visual content, this API should be triggered
MCP tool name
nexscope_multimodal_image_recognition_apiEquivalent REST API path
https://claw-callback.nexscope.ai/api/skill-api/v1/skills/multimodal-image-recognition-api/runJSON-RPC method
tools/callAuthentication
Send the user API key as a bearer token on every MCP JSON-RPC request.
Authorization: Bearer nk_xxxxxxxxxxxxxxxxxIf 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": "multimodal-image-recognition-api-1",
"method": "tools/call",
"params": {
"name": "nexscope_multimodal_image_recognition_api",
"arguments": {
"requirement": "Describe the product shown in this image",
"imageUrl": "https://m.media-amazon.com/images/I/61v6nYvQ7+L._AC_SL1500_.jpg"
}
}
}REST API equivalent
POST https://claw-callback.nexscope.ai/api/skill-api/v1/skills/multimodal-image-recognition-api/runCanonical detail URL
https://www.nexscope.ai/mcp-map/multimodal-image-recognition-apiArguments
| Name | Type | Required | Meaning |
|---|---|---|---|
imageUrl | string | required | Image URL. Supported formats: JPG, JPEG, PNG, GIF, WEBP, and BMP. Maximum 1,000 characters Example: https://m.media-amazon.com/images/I/61v6nYvQ7+L._AC_SL1500_.jpg |
requirement | string | optional | User intent describing what to recognize or analyze in the image. Default: describe the contents of this image. Maximum 1,000 characters Example: {} |
Response fields
Treat structuredContent as the programmatic API response payload.
| Name | Type | Required | Meaning |
|---|---|---|---|
text | string | optional | Text result of the image analysis Example: {} |
stdout | string | optional | Standard output content Example: {} |
status | string | optional | Response status indicator Example: {} |
type | string | optional | Component type Example: {} |
costToken | integer | optional | Tokens consumed Example: 1 |
errcode | integer | optional | Upstream status code returned by the provider. Example: {} |
errmsg | string | optional | Upstream status message returned by the provider. Example: {} |
code | string | optional | Provider-specific status code. 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: {} |
costTime | integer | optional | Execution time reported by the upstream provider. 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
{
"requirement": "Describe the product shown in this image",
"imageUrl": "https://m.media-amazon.com/images/I/61v6nYvQ7+L._AC_SL1500_.jpg"
}Example structuredContent
{
"costToken": 1
}