mcp-server-wikipedia
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Alternatives to mcp-server-wikipedia
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Related Servers
- FlicenseNot gradedqualityCmaintenanceEnables searching and reading Wikipedia articles through tools like search, section listing, and content retrieval. Supports prompt templates and resource suggestions for topic exploration.-
- AlicenseAqualityCmaintenanceEnables LLMs to search for keywords and fetch full page content from Wikipedia across various languages. It provides direct access to Wikipedia information through search and fetch tools.24MIT
- FlicenseNot gradedqualityBmaintenanceEnables LLM agents to search Wikipedia and retrieve page content via Model Context Protocol tools, supporting natural language research.-
- FlicenseNot gradedqualityDmaintenanceEnables searching and retrieving Wikipedia content across multiple languages, including article summaries, sections, coordinates, and related topics.-
- AlicenseAqualityCmaintenanceEnables AI assistants to access Wikipedia content, search articles, retrieve historical events, and fetch images through the Wikipedia API.412 npm1MIT
- 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-
TDQS
Scored across 7 tools
The tools are mostly distinct: get_page retrieves full text, get_section retrieves a specific section, get_summaries retrieves summaries, get_toc returns the table of contents, and search_articles finds candidates. However, get_page and get_summaries could overlap slightly in use cases (full text vs. summary) and the skills_list/skill_read pair is clearly distinct. Overall, minimal overlap.
All tools consistently follow a verb_noun pattern with get_ prefix and lowercase nouns: get_page, get_section, get_summaries, get_toc, search_articles, skills_list, skill_read. The pattern is predictable and consistent.
7 tools is within the ideal 3-15 range. Each tool serves a clear purpose for interacting with Wikipedia: search, read full page, read section, get summary, get TOC, and skill management. No redundant tools.
The set covers the core Wikipedia read operations: search, full page, section, summary, TOC. Missing might be a way to get page metadata or links, but for a read-only reference server this is well-covered. No obvious dead ends.