Server data from the Official MCP Registry
Search, read, annotate, and add to your Zotero research library, local or web.
Search, read, annotate, and add to your Zotero research library, local or web.
Zotero MCP is a well-structured research library integration server with appropriate authentication and permissions matching its purpose. The codebase demonstrates good security practices overall, including proper credential handling via environment variables and input validation. However, several code quality issues and a moderate risk around credential exposure in error messages lower the score slightly. The server's permissions (file I/O, network HTTP, environment variables) are reasonable for a research tool that needs to query APIs and access local Zotero databases. Supply chain analysis found 6 known vulnerabilities in dependencies (0 critical, 5 high severity). Package verification found 1 issue.
3 files analyzed · 15 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: ZOTERO_LOCAL
Environment variable: ZOTERO_API_KEY
Environment variable: ZOTERO_LIBRARY_ID
Environment variable: ZOTERO_LIBRARY_TYPE
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-54yyyu-zotero-mcp": {
"env": {
"ZOTERO_LOCAL": "your-zotero-local-here",
"ZOTERO_API_KEY": "your-zotero-api-key-here",
"ZOTERO_LIBRARY_ID": "your-zotero-library-id-here",
"ZOTERO_LIBRARY_TYPE": "your-zotero-library-type-here"
},
"args": [
"zotero-mcp-server"
],
"command": "uvx"
}
}
}Be the first to review this server!
by Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
by Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
by mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.