INDIVIDUAL MCP TOOL

restore_face

Restore and enhance faces in an image with the Brainiall face-restoration engine.

brainiall.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://api.brainiall.com/mcp/image/mcp

No auth detected

Connect to this endpoint to inspect the live schema for restore_face and invoke it with your own arguments.

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Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.brainiall-image]
url = "https://api.brainiall.com/mcp/image/mcp"
enabled = true

Claude Code

.mcp.json

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

Claude Desktop

Settings → Connectors → Add custom connector

Name: brainiall-image
Remote MCP URL: https://api.brainiall.com/mcp/image/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "brainiall-image": {
      "url": "https://api.brainiall.com/mcp/image/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "brainiall-image": {
      "type": "http",
      "url": "https://api.brainiall.com/mcp/image/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

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

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

remove_background — Remove the background from an image.
upscale_image — Upscale image resolution with the Brainiall image-upscaling engine.
check_image_service — Check health status of Image API services and loaded models.
document_extract — Turn a document image into structured fields.
document_query — Ask a natural-language question about a document image; returns a grounded answer plus the supporting line.
document_tables — Reconstruct every table in a document image into headers and rows.
document_to_markdown — Return the document as structured Markdown (headings, tables, lists, code blocks, math).
run_skillsets — Run a multi-skill enrichment pipeline over a document image or text in one call.