# scholar-mcp

> Use this tool when you need to retrieve relevant passages from a library of ebooks to answer questions, as it enables local semantic search and retrieval using embedded passages. The scholar-mcp tool takes in natural language queries and returns relevant ebook passages, leveraging pplx-embed-context-v1 embeddings stored in Qdrant. Ideal for LLM agents like Gemma 4 requiring accurate and efficient information retrieval from large ebook collections.

Canonical page: https://skillsregistry.net/skills/unlomtrois-little-librarian  
JSON: https://api.skillsregistry.net/v1/skills/unlomtrois-little-librarian

## Description

MCP server for local semantic retrieval over a library of ebooks, using pplx-embed-context-v1 embeddings stored in Qdrant, enabling an LLM agent like Gemma 4 to search and retrieve relevant passages for answering questions.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-23

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qfmhwbwsr3)
- **Repository:** <https://github.com/unlomtrois/little-librarian>

## 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": "unlomtrois-little-librarian"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/unlomtrois-little-librarian` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/unlomtrois-little-librarian/pull`

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