# Notebook Library MCP Server

> Use this tool when you need to efficiently search and retrieve relevant information from large documents, such as PDFs, text, and markdown files. It solves problems of information overload and slow query times by indexing documents into local notebooks using ChromaDB and enabling semantic search through local embedding models. Ideal for use cases where AI agents require fast and accurate document retrieval, such as research, data analysis, and knowledge graph construction.

Canonical page: https://skillsregistry.net/skills/clotho2-notebook-library-mcp  
JSON: https://api.skillsregistry.net/v1/skills/clotho2-notebook-library-mcp

## Description

Provides token-efficient semantic search and document retrieval by indexing PDFs, text, and markdown files into local notebooks using ChromaDB. It enables AI agents to query relevant passages from large documents through local embedding models like Hugging Face or Ollama.

## Trust

- **Trust score (0–1):** 0.92
- **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/kriruqd6xc)
- **Repository:** <https://github.com/clotho2/notebook-library-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": "clotho2-notebook-library-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/clotho2-notebook-library-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/clotho2-notebook-library-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