local-only server
The server can only run on the client’s local machine because it depends on local resources.
Integrations
Provides OCR (Optical Character Recognition) capabilities through Google's Cloud Vision API, allowing extraction of text from images and conversion into editable and searchable notes.
Google OCR MCP server
Components
Resources
The server implements a simple note storage system with:
- Custom note:// URI scheme for accessing individual notes
- Each note resource has a name, description and text/plain mimetype
Prompts
The server provides a single prompt:
- summarize-notes: Creates summaries of all stored notes
- Optional "style" argument to control detail level (brief/detailed)
- Generates prompt combining all current notes with style preference
Tools
The server implements one tool:
- add-note: Adds a new note to the server
- Takes "name" and "content" as required string arguments
- Updates server state and notifies clients of resource changes
Configuration
[TODO: Add configuration details specific to your implementation]
Quickstart
Install
Claude Desktop
- On MacOS:
~/Library/Application\ Support/Claude/claude_desktop_config.json - On Windows:
%APPDATA%/Claude/claude_desktop_config.json
Installing via Smithery
To install google-ocr-mcp-server for Claude Desktop automatically via Smithery:
Development
Building and Publishing
To prepare the package for distribution:
- Sync dependencies and update lockfile:
- Build package distributions:
This will create source and wheel distributions in the dist/ directory.
- Publish to PyPI:
Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token:
--tokenorUV_PUBLISH_TOKEN - Or username/password:
--username/UV_PUBLISH_USERNAMEand--password/UV_PUBLISH_PASSWORD
Debugging
Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.
You can launch the MCP Inspector via npm with this command:
Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
You must be authenticated.
Tools
This is a server implementation for performing Optical Character Recognition (OCR) using the Google Cloud Vision API. It is built on top of the FastMCP framework, which allows for the creation of modular and extensible command processing tools.