OCR-MCP

Complete AI OCR webapp and MCP server. A web app with a streamlined dashboard (drag-and-drop or scanner, pick an engine, click one button) and a FastMCP 3.1 MCP server for agentic IDEsClaude, Cursor, Windsurfso agents can run OCR, preprocessing, and workflows as tools. Same 14 engines, WIA scanner (Windows), and pipelines; one repo.

Topics: ocr, mcp, fastmcp, document-processing, scanner, wia, pdf, computer-vision, model-context-protocol, llm

What it does

• Web app React (web_sota/) + FastAPI (backend/app.py): upload or scan, pick engine, get text/PDF/JSON. Ports 10858 (Vite) and 10859 (API). In-app Help (/help) documents the web UI, the MCP server, and OCR backends.
• MCP server FastMCP 3.1 stdio: tools for OCR, preprocessing, scanner, workflows. Sampling defaults to local Ollama (http://127.0.0.1:11434/v1, model llama3.2) no cloud API key. Set OCR_SAMPLING_USE_CLIENT_LLM=1 to use the host IDEs LLM instead. Mistral OCR uses MISTRAL_API_KEY when you call that backend. See AI_FEATURES.md.

Features: 14 backends (Unlimited-OCR, PaddleOCR-VL-1.5, Nemotron VL 8B, DeepSeek-OCR-2, MinerU2.5-Pro, Mistral OCR) Auto backend selection Preprocessing (deskew, enhance, crop) Layout & table extraction Form detection & reconstruction (checkbox, text field, radio, signature detection → fillable ODT via libreoffice-mcp) Quality assessment WIA scanner Auto-Scan watcher (detect documents on flatbed, auto-OCR) Batch & pipelines Multi-format export

Docs

Also: JUSTFILE.md (just recipes) OCR-MCP_MASTER_PLAN.md (roadmap) tests/README.md (testing)

Quick Start

git clone https://github.com/sandraschi/ocr-mcp
cd ocr-mcp
just

This opens an interactive dashboard showing all available commands. Run just bootstrap to install dependencies, then just serve or just dev to start.

Manual Setup

If you don't have just installed:

🛡️ Industrial Quality Stack

This project adheres to SOTA 14.1 industrial standards for high-fidelity agentic orchestration:

• Python (Core): Ruff for linting and formatting. Zero-tolerance for print statements in core handlers (T201).
• Webapp (UI): Biome for sub-millisecond linting. Strict noConsoleLog enforcement.
• Protocol Compliance: Hardened stdout/stderr isolation to ensure crash-resistant JSON-RPC communication.
• Automation: Justfile recipes for all fleet operations (just lint, just fix, just dev).
• Security: Automated audits via bandit and safety.

Install (Claude Desktop)

irm https://github.com/sandraschi/ocr-mcp/releases/latest/download/install.ps1 | iex

Or download ocr-mcp.mcpb from releases (stable name) and install it in Claude Desktop. Other clients (Cursor, Windsurf, opencode):

{
  "mcpServers": {
    "ocr-mcp": {
      "command": "uv",
      "args": ["--directory", "D:/Dev/repos/ocr-mcp", "run", "ocr-mcp"]
    }
  }
}

Stack

MCP tools (portmanteau)

Env vars

Ports

Full reference: llms-full.txt. Backend deps: docs/BACKEND_DEPS.md. Onboarding: docs/ONBOARDING.md.

License

MIT — see LICENSE.