Scholar MCP

by ProPriyam

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Python

Remote

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TDQS

B3/5.0

Scored 2026-04-17 20:40 across 2 tools

Disambiguation5/5

The two tools have clearly distinct purposes: one filters papers by author name, while the other searches by topic keywords. There is no overlap in functionality, making it easy for an agent to choose the correct tool based on the query.

Naming Consistency4/5

Both tools follow a verb_noun pattern (get_author_papers, search_papers_by_topic), which is consistent and readable. The minor deviation is in the prepositional phrase 'by_topic' vs. no preposition in the first name, but this does not hinder clarity.

Tool Count2/5

With only 2 tools, the server feels thin and under-scoped for a Google Scholar integration. Key operations like retrieving paper details, citations, or author profiles are missing, limiting the server's utility for comprehensive scholarly research.

Completeness2/5

The toolset is severely incomplete for a Google Scholar domain. It lacks basic CRUD operations such as getting paper metadata, author information, or citation counts, and there are no update or delete capabilities, leaving significant gaps for agent workflows.