wikicitation-mcp
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- FlicenseNot gradedqualityDmaintenanceProvides Claude with real-time access to Wikipedia through four essential tools: search articles, get full content, retrieve summaries, and find related articles. Enables comprehensive Wikipedia research workflows with structured data access and no API keys required.-
- AlicenseBqualityAmaintenanceEnables AI assistants such as Claude to search academic literature, retrieve abstracts and full text, trace citations and multi-generation citation networks, and analyze author profiles, journal quality and bibliometrics from a conversation. It works with Scopus by default and can run the same analyses against OpenAlex without a subscription.3530 PyPIMIT
- FlicenseNot gradedqualityAmaintenanceEnables Claude Desktop and compatible AI clients to search academic papers and retrieve metadata, abstracts, and available full text from Semantic Scholar and Crossref.-
- FlicenseNot gradedqualityAmaintenanceEnables Claude and other MCP-compatible clients to query Semantic Scholar and Crossref for scholarly works, retrieving metadata, abstracts, TL;DR summaries, and full-text links when available.-
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to fact-check claims, verify citations, and check source freshness using Wikipedia, Wikidata, Crossref, and Wayback Machine.1MIT
- AlicenseAqualityCmaintenanceEnables searching for scientific papers across OpenAlex, CrossRef, and Unpaywall, and downloading open-access PDFs directly through Claude Desktop.51MIT
TDQS
Scored across 38 tools
Several clusters of tools overlap significantly: get_subcat_table / get_subcat_multiple / get_subcat_with_depth all fetch subcategories, and get_category_pages / get_pages_in_cat_table / get_page_in_cat_multiple all list pages in categories. Count and parsing tools (get_any_count vs the specific *_count tools, parse_cite_type vs parse_citations vs parse_all_citations) also blur boundaries, though descriptions provide some differentiation.
Most names follow a consistent snake_case verb_noun pattern (get_*, extract_*, parse_*, annotate_*). Minor deviations like mixing 'table', 'multiple', and 'with_depth' suffixes for parallel operations introduce slight unpredictability but overall naming is coherent.
38 tools is heavy for the scope, and much of the surface is redundant parallel variants (three subcategory getters, three page-in-category getters, two ISBN annotators, multiple citation parsers). Consolidation would reduce cognitive load.
Coverage is strong across the domain: extraction, parsing, counting, history at multiple levels (subcategory/page), external annotation via EuropePMC/CrossRef/OpenLibrary/Google Books, and derived metrics like sci_score. Minor gaps only in areas like write/update operations, which may be out of scope.