Brainiall Image is an MCP server with 10 tools an agent can call, among them check_image_service, document_extract, document_query. It answers at https://api.brainiall.com/mcp/image/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 7 of 10 times since 4 September 2026; the last check, on 18 October 2026, succeeded.
Background removal, upscaling, face restore, document OCR, table extraction, visual understanding.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
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 - version (str): API version |
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: dict with keys: doc_type (str), fields (dict — n Inputs: image, doc_type |
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. Returns: dict with keys: answer (str|null), f Inputs: image, question |
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 tables. Inputs: image |
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. Inputs: pdf, page_range |
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 white background (WebP). Sub-500ms latency Inputs: image_base64, output_format |
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. Optionally enhances the background with t Inputs: image_base64, upscale, enhance_background |
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. Inputs: image, text, skills |
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 text. Inputs: image, text, field_schema |
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 tiles (256x256) to manage VRAM. Maximum outpu Inputs: image_base64, scale |
Every block below points at https://api.brainiall.com/mcp/image/mcp. Pick your client and copy.
claude mcp add --transport http brainiall-image https://api.brainiall.com/mcp/image/mcp
{
"mcpServers": {
"brainiall-image": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://api.brainiall.com/mcp/image/mcp"]
}
}
}{
"mcpServers": {
"brainiall-image": {
"url": "https://api.brainiall.com/mcp/image/mcp"
}
}
}{
"servers": {
"brainiall-image": {
"type": "http",
"url": "https://api.brainiall.com/mcp/image/mcp"
}
}
}{
"context_servers": {
"brainiall-image": {
"url": "https://api.brainiall.com/mcp/image/mcp"
}
}
}{
"mcpServers": {
"brainiall-image": {
"serverUrl": "https://api.brainiall.com/mcp/image/mcp"
}
}
}{
"mcpServers": {
"brainiall-image": {
"url": "https://api.brainiall.com/mcp/image/mcp"
}
}
}name: Brainiall Image
version: 0.0.1
schema: v1
mcpServers:
- name: Brainiall Image
type: streamable-http
url: https://api.brainiall.com/mcp/image/mcp{
"mcpServers": {
"brainiall-image": {
"httpUrl": "https://api.brainiall.com/mcp/image/mcp"
}
}
}{
"mcpServers": {
"brainiall-image": {
"type": "http",
"url": "https://api.brainiall.com/mcp/image/mcp"
}
}
}{
"mcpServers": {
"brainiall-image": {
"url": "https://api.brainiall.com/mcp/image/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fapi.brainiall.com%2Fmcp%2Fimage%2Fmcp&type=streamable_http&id=brainiall-image&name=Brainiall%20Image
It answered our last check on 18 October 2026 in 786 ms. Over 10 checks since 4 September 2026 it answered 7. Status here comes from Neuronto's own probes, not from the publisher.
Yes. It is published by brainiall.com and served from api.brainiall.com, the vendor's own domain: https://api.brainiall.com/mcp/image/mcp.
10, as returned by the server's own tools/list on 31 August 2026: check_image_service, document_extract, document_query, document_tables, document_to_markdown, remove_background, restore_face, run_skillsets, and 2 more.
It answered our last check on 18 October 2026 in 786 ms. Over 10 checks since 4 September 2026 it answered 7.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://api.brainiall.com/mcp/image/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: com.brainiall. Endpoint host: api.brainiall.com. ARD identifier: urn:air:com.brainiall:mcp:image.
First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.