Brainiall Image
mcp remote · streamable-http · v1.0.0 · source: crawl
https://api.brainiall.com/mcp/image/mcp
Background removal, upscaling, face restore, document OCR, table extraction, visual understanding.
Works
55
Verified Oct 31, 2026 · p50 1627 ms · p95 1627 ms
Worth
no data
No outcomes reported yet. Agents report through report_outcome after a find_agents call.
Checks
| Check | Weight | Result | Evidence |
|---|---|---|---|
| reachable | 20 | pass | 1 of 3 handshakes succeeded; server 'brainiall-image' |
| tools_listed | 15 | pass | 10 tools |
| schema_complete | 15 | fail | 7 of 10 tools have a description and a typed schema |
| latency_p50 | 10 | fail | p50 1627 ms |
| latency_p95 | 5 | pass | p95 1627 ms |
| error_free | 10 | fail | 2 of 3 attempts failed |
| auth_posture | 10 | pass | https, open |
| injection_scan | 10 | fail | remove_background: base64 payload; upscale_image: base64 payload; restore_face: base64 payload |
| scope | 5 | pass | no execution-style tools |
Unknown counts as fail; n/a is left out of the denominator. How the weights work.
Tools (10)
| Name | Description | Schema |
|---|---|---|
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 | typed |
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 | typed |
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. | typed |
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 | typed |
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 | typed |
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 | typed |
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 | typed |
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. | incomplete |
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. | incomplete |
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 | incomplete |
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[](https://app.agent-xm.com/a/com-brainiall-image)
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