# Streamable Demo

> Use this tool when you need to efficiently manage and summarize large volumes of text notes, and generate comprehensive summaries of stored notes. It solves problems of note organization and information overload by providing an intuitive interface through URIs and tools. Ideal for use cases where notes need to be easily created, accessed, and summarized, such as project management or research note-taking.

Canonical page: https://skillsregistry.net/skills/trashwbin-streamable-demo  
JSON: https://api.skillsregistry.net/v1/skills/trashwbin-streamable-demo

## Description

Manage and summarize text notes efficiently using a simple MCP server. Create new notes with ease and generate comprehensive summaries of all stored notes. Access and manipulate notes through intuitive URIs and tools designed for seamless integration.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** api-integration
- **Updated:** 2026-05-14

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/Trashwbin/streamable-demo)

## 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": "trashwbin-streamable-demo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/trashwbin-streamable-demo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/trashwbin-streamable-demo/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