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100
MCP live MCP 2025-11-25 streamable-http

Brainiall Image

com.brainiall/image

Background removal, upscaling, face restore, document OCR, table extraction, visual understanding.

Uptime
100.0%
1 direct probes · 30d
Response
584ms
last probe
Tools
10
callable
Resources
3
readable
Prompts
2
available
Primary URL
https://api.brainiall.com/mcp/image/mcp

Tools · 10

remove_background

Remove the background from an image. Uses Brainiall Cutout engine segmentation to precisely separate foreground from background. Returns a base64-encoded image with transparent background (PNG) or wh…

upscale_image

Upscale image resolution with the Brainiall image-upscaling engine. Enhances image resolution by 2x or 4x with the GPU-accelerated Brainiall image-upscaling engine super-resolution. Processes in tile…

restore_face

Restore and enhance faces in an image with the Brainiall face-restoration engine. Detects all faces via RetinaFace, restores quality (fixes blur, noise, compression artifacts), and pastes them back. …

check_image_service

Check health status of Image API services and loaded models. Returns: dict with keys: - status (str): 'healthy' or error state - models (dict): Loaded model status per capability …

document_extract

Turn a document image into structured fields. doc_type picks the schema (receipt/invoice/id/contract/form/generic). A page with no readable text returns an error rather than a guess. Returns: di…

document_query

Ask a natural-language question about a document image; returns a grounded answer plus the supporting line. Returns found:false rather than guessing when the document doesn't contain the answer. Ret…

document_tables

Reconstruct every table in a document image into headers and rows. Returns: dict with keys: table_count (int), tables (list of {title, headers, rows, row_count, column_count}); [] if there are no…

document_to_markdown

Return the document as structured Markdown (headings, tables, lists, code blocks, math). Brainiall Doc Layout engine. The single API for converting documents to LLM-friendly format.

run_skillsets

Run a multi-skill enrichment pipeline over a document image or text in one call. Brainiall Skillsets engine. Returns per-skill outputs ready for indexing or RAG.

understand_content

Multimodal extraction. Send an image, text, or both; define your schema of fields; get structured JSON. Brainiall Content Understanding engine. Unified multimodal field extraction over images and tex…

Resources · 3

image_capabilities

Available image processing capabilities and their descriptions.

image://capabilities
image_pricing

Pricing information for Image API calls.

image://pricing
supported_formats

Supported image formats and size limits.

image://supported-formats

Prompts · 2

image_processing_workflow

Process an image through the appropriate pipeline based on the task. Args: task: Description of what image processing is needed.

batch_image_pipeline

Plan a batch image processing workflow. Args: description: Description of the batch processing needs.

How to use

Add to your Claude Desktop / Cursor / Cline MCP config:

{
  "mcpServers": {
    "brainiall_image": {
      "url": "https://api.brainiall.com/mcp/image/mcp",
      "transport": "streamable-http"
    }
  }
}