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rupeedev

image-reader MCP Server

by rupeedev
README.md
# image-reader MCP Server

image reader

This is a TypeScript-based MCP server that implements a simple notes system. It demonstrates core MCP concepts by providing:

- Resources representing text notes with URIs and metadata
- Tools for creating new notes
- Prompts for generating summaries of notes

## Features

### Resources
- List and access notes via `note://` URIs
- Each note has a title, content and metadata
- Plain text mime type for simple content access

### Tools
- `create_note` - Create new text notes
  - Takes title and content as required parameters
  - Stores note in server state

### Prompts
- `summarize_notes` - Generate a summary of all stored notes
  - Includes all note contents as embedded resources
  - Returns structured prompt for LLM summarization

## Development

Install dependencies:
```bash
npm install
```

Build the server:
```bash
npm run build
```

For development with auto-rebuild:
```bash
npm run watch
```

## Installation

To use with Claude Desktop, add the server config:

On MacOS: `~/Library/Application Support/Claude/claude_desktop_config.json`
On Windows: `%APPDATA%/Claude/claude_desktop_config.json`

```json
{
  "mcpServers": {
    "image-reader": {
      "command": "/path/to/image-reader/build/index.js"
    }
  }
}
```

### Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector), which is available as a package script:

```bash
npm run inspector
```

The Inspector will provide a URL to access debugging tools in your browser.

TDQS

A3.5/5.0

Scored across 4 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: analyze_image extracts metadata, convert_format changes file type, resize_image adjusts dimensions, and scan_directory finds images in a directory. There is no overlap or ambiguity between these functions.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern (e.g., analyze_image, convert_format, resize_image, scan_directory). The naming is uniform and predictable throughout the set.

Tool Count5/5

With 4 tools, this server is well-scoped for basic image processing tasks. Each tool serves a clear, essential function without redundancy, making the count appropriate for the domain.

Completeness4/5

The toolset covers key operations like metadata extraction, format conversion, resizing, and directory scanning, which are core to image reading. A minor gap might be the lack of tools for editing (e.g., cropping or filtering), but the provided tools are sufficient for basic workflows.

Maintenance

ActivityInactive
ResponsivenessNo issues