Question 1

What is the OCR MCP Server?

Accepted Answer

The OCR MCP Server is a MetaCall Protocol (MCP) server that utilizes macOS's built-in Vision framework to perform Optical Character Recognition (OCR) on images.

Question 2

What is MetaCall Protocol (MCP)?

Accepted Answer

MCP is an open protocol that standardizes how applications provide context to LLMs. MCP server acts as a bridge, allowing AI models to access and interact with external data sources and tools.

Question 3

What are the key dependencies for the OCR MCP Server?

Accepted Answer

The key dependencies are Python 3.13+, `ocrmac`, `Pillow`, and `mcp[cli]>=1.7.1`.

Question 4

How do I install the dependencies?

Accepted Answer

It is recommended to use a virtual environment. Create one with `python -m venv .venv`, activate it with `source .venv/bin/activate`, and then install the dependencies using `uv sync`.

Question 5

How do I run the OCR MCP Server?

Accepted Answer

After installing the dependencies, run `uv run main.py` in your terminal.

Question 6

What is the `ocr_image` tool?

Accepted Answer

The `ocr_image` tool is the core functionality of the OCR MCP Server. It takes an image file path as input and returns the recognized text segments, their confidence scores, and bounding box coordinates.

Question 7

What input does the `ocr_image` tool require?

Accepted Answer

The `ocr_image` tool requires the `file_path: str` parameter, which specifies the absolute or relative path to the image file.

Question 8

What output does the `ocr_image` tool provide on success?

Accepted Answer

On success, the `ocr_image` tool returns a JSON object containing the filename and an array of annotations. Each annotation includes the recognized text, confidence score, and bounding box coordinates.

Question 9

What output does the `ocr_image` tool provide on error?

Accepted Answer

On error, the `ocr_image` tool returns a JSON object containing an `error` field with a descriptive error message.

Question 10

Can I use the OCR MCP Server on non-macOS systems?

Accepted Answer

No, the OCR MCP Server relies on macOS's Vision framework and will only function correctly on a macOS system.

Question 11

How can I test the OCR MCP Server?

Accepted Answer

You can use the MCP Inspector to connect to the running MCP server and test the `ocr_image` tool.

Question 12

How do I configure the OCR MCP Server in Cursor?

Accepted Answer

You can add a configuration block to your MCP JSON configuration file (`~/.cursor/mcp.json` or project-specific `.cursor/mcp.json`) that specifies the command and arguments to start the server.

Question 13

Can I use the OCR MCP Server with the UBOS platform?

Accepted Answer

Yes, the OCR MCP Server is designed to integrate seamlessly with the UBOS platform for AI Agent orchestration and data connectivity. UBOS is a full-stack AI Agent development platform that helps you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model and Multi-Agent Systems.

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