# Zotero Enhanced

> Use this tool when you need to streamline your research workflow by integrating a reference manager with AI-driven tasks, such as metadata lookup and note writeback. It solves problems of manual data entry and synchronization by providing a seamless bridge between Zotero and AI workflows. The tool accepts inputs from Zotero and AI workflows, and outputs synchronized metadata and notes, making it ideal for researchers and writers who require efficient reference management and collaboration.

Canonical page: https://skillsregistry.net/skills/brigealong-zotero-enhanced  
JSON: https://api.skillsregistry.net/v1/skills/brigealong-zotero-enhanced

## Description

An enhanced Zotero integration that bridges the reference manager with AI workflows through a Python service and an accompanying Zotero browser plugin. The plugin manages a job queue for asynchronous tasks, while the service provides tools for metadata lookup, attachment resolution, and note writeback. Requires Zotero 7 and Python 3.10+.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/brigealong-zotero-enhanced)
- **Repository:** <https://github.com/brigealong/zotero-mcp-enhanced>

## 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": "brigealong-zotero-enhanced"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/brigealong-zotero-enhanced` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/brigealong-zotero-enhanced/pull`

---
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