# zotero-local-mcp-bridge

> Use this tool when you need to integrate AI agents with a local Zotero library, enabling secure management of references and bibliographic data through a standardized MCP interface. It solves problems of data consistency, accessibility, and automation, supporting use cases like research assistance, content generation, and knowledge graph construction. The bridge accepts MCP commands as input and outputs managed library data, ideal for applications requiring reliable and controlled access to reference materials.

Canonical page: https://skillsregistry.net/skills/phoenixchenlu-zotero-local-mcp-bridge  
JSON: https://api.skillsregistry.net/v1/skills/phoenixchenlu-zotero-local-mcp-bridge

## Description

Enables MCP-capable agents to securely manage a local Zotero library through a plugin-hosted MCP endpoint, supporting read, write, search, and import/export operations with safety workflows like dry-run and approval.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y4xpujd4r8)
- **Repository:** <https://github.com/PhoenixChenLu/zotero-local-mcp-bridge>

## 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": "phoenixchenlu-zotero-local-mcp-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/phoenixchenlu-zotero-local-mcp-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/phoenixchenlu-zotero-local-mcp-bridge/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