Blender integration through the Model Context Protocol
Nothing to run from here
Brainiall Image is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
10
tools declared
—
trust score
remote
at its publisher
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calls last 7d
What it does
Background removal, upscaling, face restore, document OCR, table extraction, visual understanding.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http brainiall-image-mcp https://api.brainiall.com/mcp/image/mcp
# 2 — ask your agent for something these tools do
# remove_background, upscale_image, restore_face and 7 more
Brainiall Image costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
BRAll 6 servers
brainiall6 servers
5 categories
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
Claude Codedeclared by this listing
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http brainiall-image-mcp https://api.brainiall.com/mcp/image/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it writes
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
What you approve
10 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
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 on GPU. Args: image_base64: Base64-encoded image data (PNG, JPEG, or WebP). output_format: Output format -- 'png' (with transparency) or 'webp'. Retu
| Parameter | Type | Required | Notes |
|---|---|---|---|
| image_base64 | string | yes | Base64-encoded image data. Supports PNG, JPEG, and WebP formats. |
| output_format | string | no | Output image format: 'png' (default, with transparency) or 'webp' |
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 output dimension: 8192x8192. Args: image_base64: Base64-encoded image data (PNG, JPEG, or WebP). scale: Upscale factor -- 2 or 4 (default: 4). Returns:
| Parameter | Type | Required | Notes |
|---|---|---|---|
| image_base64 | string | yes | Base64-encoded image data. Supports PNG, JPEG, and WebP formats. |
| scale | integer | no | Upscale factor: 2 or 4 (default: 4) |
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 the Brainiall image-upscaling engine. GPU-accelerated, sub-3s latency. Args: image_base64: Base64-encoded image data containing faces (PNG, JPEG, WebP).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| image_base64 | string | yes | Base64-encoded image data containing one or more faces. |
| upscale | integer | no | Output upscale factor: 1-4 (default: 2) |
| enhance_background | boolean | no | Enhance background with the Brainiall image-upscaling engine (default: true) |
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
No parameter schema on file.
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 — null for any value not present), text (str — the recognised plain text).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| image | string | yes | Base64-encoded PNG/JPEG of a single document page |
| doc_type | string | no | The document kind — picks the field schema: receipt | invoice | id | contract | form | generic | business_card | w2 | health_card | mortgage | pay_stub |
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), found (bool), supporting_text (str|null), text (str).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| image | string | yes | Base64-encoded PNG/JPEG of the document page |
| question | string | yes | The natural-language question about the document |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| image | string | yes | Base64-encoded PNG/JPEG of the document page |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| string | yes | Base64-encoded PDF document | |
| page_range | no | Page range like '1,2,5-10' or null for all pages |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| image | no | Base64 image (triggers OCR) | |
| text | no | Pre-extracted text (skip OCR) | |
| skills | no | Enrichment skills: ocr | entities | language | keyphrases | sentiment |
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.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| image | no | Optional base64 image (will OCR first) | |
| text | no | Optional pre-extracted text | |
| field_schema | no | Map of field_name -> description, e.g. {"invoice_id":"invoice number","total":"amount due"} |
Free
$0 forever
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Brainiall Image or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
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Alert at 80% · then the tool returns a normal MCP error
Used this month: —
—Grade not published
No rule-by-rule report on file for this release
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.0.0.
1.0.0
undated
latestNo release note was published with this version.
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no reviews yet
Who can review
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Sign in to write one
Any signed-in account that does not publish Brainiall Image can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.