# Zotero Chunk RAG

> Use this tool when you need to efficiently search and retrieve specific passages from your research library, or when verifying citations and gathering evidence requires precise page-level attribution. It solves problems of information overload and disorganization in academic research workflows by providing passage-level semantic search and expandable context. The tool takes in PDFs and bibliographic metadata, and outputs relevant papers, specific passages, and citation keys.

Canonical page: https://skillsregistry.net/skills/ccam80-zotero-chunk-rag  
JSON: https://api.skillsregistry.net/v1/skills/ccam80-zotero-chunk-rag

## Description

Enables passage-level semantic search over Zotero research libraries by extracting text from PDFs, chunking documents with overlap, and embedding them using Google's Gemini API for storage in ChromaDB. Provides tools for finding relevant papers by topic, searching specific passages with expandable context, and retrieving bibliographic metadata including BetterBibTeX citation keys. Designed for academic research workflows where users need to locate specific claims, verify citations, and gather supporting evidence from their personal paper collections with precise page-level attribution.

## Trust

- **Trust score (0–1):** 0.32
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ccam80-zotero-chunk-rag)
- **Repository:** <https://github.com/ccam80/deep-zotero>

## 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": "ccam80-zotero-chunk-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ccam80-zotero-chunk-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ccam80-zotero-chunk-rag/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