Image Reader
A TypeScript-based MCP server that implements a simple notes system, allowing creation and management of text notes with URIs and metadata.
What is Image Reader?
Image Reader is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to typescript-based mcp server that implements a simple notes system, allowing creation and management of text notes with uris and metadata.
A TypeScript-based MCP server that implements a simple notes system, allowing creation and management of text notes with URIs and metadata.
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A TypeScript-based MCP server that implements a simple notes
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx image-reader-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Image Reader
What is Image Reader?
Image Reader is a Model Context Protocol (MCP) server that typescript-based mcp server that implements a simple notes system, allowing creation and management of text notes with uris and metadata. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Image Reader?
Follow the installation instructions on the Image Reader GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Image Reader?
Image Reader works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Image Reader free to use?
Yes, Image Reader is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Set Up Image Reader in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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