# RAGandLLM-MCP

> Use this tool when you need to store and summarize large amounts of notes, and generate concise overviews of saved content. It solves problems of information overload and disorganization by providing a centralized note storage system with automated summary generation capabilities. The tool accepts user-inputted notes and outputs summarized content, making it ideal for use cases where information consolidation and quick review are necessary.

Canonical page: https://skillsregistry.net/skills/iijimam-ragandllm-mcp  
JSON: https://api.skillsregistry.net/v1/skills/iijimam-ragandllm-mcp

## Description

A simple MCP server that implements a note storage system with RAG capabilities, allowing users to store notes and generate summaries of stored content.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f75i7l1182)
- **Repository:** <https://github.com/iijimam/RAGandLLM-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": "iijimam-ragandllm-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/iijimam-ragandllm-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/iijimam-ragandllm-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