# notebookllm_mcp

> Use this tool when you need to optimize Jupyter notebooks for large language models (LLMs) or edit notebooks using MCP tools. It converts notebooks to a simplified plain text format to reduce token usage and can convert back to the original format. This tool is ideal for loading, editing, and saving notebooks while minimizing token consumption.

Canonical page: https://skillsregistry.net/skills/yasirrazaa-notebookllm-mcp  
JSON: https://api.skillsregistry.net/v1/skills/yasirrazaa-notebookllm-mcp

## Description

Converts Jupyter notebooks to a simplified plain text format to reduce token usage for LLMs, and can convert back. Enables loading, editing, and saving notebooks via MCP tools.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zgcojj76uz)
- **Repository:** <https://github.com/Yasirrazaa/notebookllm_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": "yasirrazaa-notebookllm-mcp"
    }
  }
}
```

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