Wikipedia MCP
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- AlicenseNot gradedqualityDmaintenanceProvides structured access to Wikipedia content including search, summaries, images, links, and more via MCP tools.6Apache 2.0
- AlicenseBqualityCmaintenanceAn MCP server that gives LLMs access to Wikipedia, supporting search, article retrieval, summaries, sections, and related topics across multiple languages and language variants.22MIT
- AlicenseNot gradedqualityAmaintenanceMCP server for searching and reading Wikipedia articles, including summaries, full text, targeted sections, nearby pages, and language editions.73 npm2Apache 2.0
- FlicenseNot gradedqualityDmaintenanceProvides comprehensive Wikipedia access for AI assistants via MCP Streamable HTTP transport, enabling search, article retrieval, summaries, section analysis, link discovery, and multi-language support.2-
- FlicenseNot gradedqualityDmaintenanceMCP server providing live Wikipedia recent changes feed, page summaries, trending pages, and Wikidata entity lookup.-
- AlicenseNot gradedqualityCmaintenanceAn MCP server that exposes a single tool to retrieve Wikipedia articles from local multistream dump files, offering fast offline access with redirect following and fuzzy matching.-
TDQS
Scored across 26 tools
Every tool targets a distinct resource and action, with descriptions that explicitly disambiguate overlapping pairs (e.g., summary vs article_extract, links, backlinks, external_links, media vs media_list). The daily content tools are each unique (featured_article, on_this_day, deaths_on_this_day, picture_of_the_day, news), so an agent can reliably select the right one.
All tools use a single snake_case convention, whether they are noun-phrase ecosystem (article_sections, category_members, external_links) or verb-like names (search, links, care, point). There is no mixing of camelCase, abbreviations, or inconsistent verb styles, so the names feel cohesive and predictable.
With 26 tools, the surface is larger than the typical 3-15 range and crosses the '25+' threshold. However, Wikipedia is a broad domain, and each tool covers a distinct read-only aspect (search, taxonomy, media, statistical, feeds, geo, translations, edit history). The count is high but not bloated for the apparent scope.
The toolset covers the read-only Wikipedia domain tightly: search and discovery, overview and full text, navigation through categories, links, backlinks, external links, translations, geo, media, pageview stats, recent changes, revisions, and daily curated feeds. There are no obvious gaps that would cause an agent to hit a dead end when trying to perform a typical Wikipedia research or content-sourcing task.