# Zotero MCP Server

> Use this tool when you need to enhance your research workflow with AI-powered search and management of reference libraries. The Zotero MCP Server solves problems of inefficient information retrieval and organization by providing semantic search, full-text extraction, and metadata access. It takes in Zotero reference libraries and outputs actionable insights and organized collections, ideal for researchers and scholars seeking to streamline their literature review and citation management processes.

Canonical page: https://skillsregistry.net/skills/tspspi-zotero-mcp-postgres-ollama-fulltext  
JSON: https://api.skillsregistry.net/v1/skills/tspspi-zotero-mcp-postgres-ollama-fulltext

## Description

Enables semantic search and management of Zotero reference libraries using PostgreSQL with pg-vector and OpenAI/Ollama embeddings. Provides AI-powered search, full-text extraction, metadata access, annotations, notes, tags, and collections management.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o9celpjzjf)
- **Repository:** <https://github.com/tspspi/zotero-mcp-postgres-ollama-fulltext>

## 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": "tspspi-zotero-mcp-postgres-ollama-fulltext"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tspspi-zotero-mcp-postgres-ollama-fulltext` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tspspi-zotero-mcp-postgres-ollama-fulltext/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