space-ocr-mcp

MCP (Model Context Protocol) server for space-ocr — structured OCR with verified per-character bounding boxes.

Why

Unlike calling Gemini/GPT-4V directly, space-ocr re-anchors LLM output to real Google Vision API symbols, so bounding boxes are not hallucinated. AI agents that act on the extracted data (auto-fill, verification UI, accounting reconciliation) can trust the coordinates.

Tools

ocr_extract — Extract structured fields from a document image. Pass template_id for built-in document types or fields for custom schemas.
list_templates — List built-in document templates (receipt, invoice, purchase_order, delivery, quote, bankbook, resident_card, driver_license, passport).

Install & run

npx -y space-ocr-mcp

Set SPACE_OCR_API_KEY (issue one at space-ocr.com → Settings → API Keys).

Claude Desktop config

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{
  "mcpServers": {
    "space-ocr": {
      "command": "npx",
      "args": ["-y", "space-ocr-mcp"],
      "env": { "SPACE_OCR_API_KEY": "YOUR_API_KEY" }
    }
  }
}

Restart Claude Desktop. You should see the space-ocr tools available.

Cursor / Windsurf / other MCP clients

Use the same command / args / env pattern in their MCP configuration UI.

Image inputs

ocr_extract accepts:

A public URL (https://...)
A local file path (/path/to/file.jpg — auto base64-encoded)
A base64 string
A data:image/...;base64,... URI

Pricing

¥10 per call (flat), billed against the same Charge Amount balance as the REST API. Failed calls are auto-refunded. Out-of-balance returns an error with no charge.

License

MIT

space-ocr

Quick Install