# Image Processor MCP Server

> Use this tool when you need to manage and summarize notes efficiently, as it provides a simple notes system with features to create, access, and generate summaries via Claude Desktop integration, accepting text-based inputs and producing summarized outputs. It solves problems of note organization and information overload, making it ideal for users seeking to streamline their note-taking process. This tool is particularly useful in contexts where quick access to summarized information is crucial, such as research, study, or meeting note management.

Canonical page: https://skillsregistry.net/skills/sanliunanjue-image-processor-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sanliunanjue-image-processor-mcp

## Description

A TypeScript-based MCP server that implements a simple notes system, allowing users to create, access, and generate summaries of notes via Claude Desktop integration.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/led9dhpfe6)
- **Repository:** <https://github.com/sanliunanjue/image-processor-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sanliunanjue-image-processor-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sanliunanjue-image-processor-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sanliunanjue-image-processor-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt