← brainiall.com
INDIVIDUAL MCP TOOL
document_tables
Reconstruct every table in a document image into headers and rows.
LIVE ENDPOINT
https://api.brainiall.com/mcp/image/mcp
Connect to this endpoint to inspect the live schema for document_tables and invoke it with your own arguments.
Indexed input schema
{}Risk classification
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.
Parent server
CONNECT WITH APPROVAL
Client installation
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.
Related tools
remove_background— Remove the background from an image.upscale_image— Upscale image resolution with the Brainiall image-upscaling engine.restore_face— Restore and enhance faces in an image with the Brainiall face-restoration 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_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.