Zotero MCP Server

by swairshah

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Python

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Deploy Server

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A3.8/5.0

Scored 2026-06-04 10:21 across 10 tools

Disambiguation5/5

Every tool has a clearly distinct purpose: local Zotero operations (list_collections, list_tags, search, get_item, get_children, get_fulltext) and Semantic Scholar operations (find_related, get_citations, get_references, search_semantic_scholar). Within each group, tools are differentiated by specific actions (e.g., find_related vs. get_citations vs. get_references). There is no ambiguity.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern using lowercase and underscores (e.g., list_collections, get_item, search_semantic_scholar). The verbs appropriately reflect the action: 'list' for enumerations, 'get' for retrieving single items, 'search' for queries, and 'find_related' for semantic similarity. No mixing of conventions.

Tool Count5/5

With 10 tools, the surface is well-scoped for a Zotero integration. It covers both local library management (6 tools) and external Semantic Scholar access (4 tools), providing a balanced set without unnecessary overlap or missing core functionality. The count is ideal for an MCP server.

Completeness3/5

The server provides robust read operations for Zotero items and comprehensive Semantic Scholar functionality. However, it lacks any write operations (create, update, delete) for Zotero library items or collections, which is a notable gap for a library management server. The tool set appears read-only, limiting its utility for full library management.