Search Japanese Wikipedia to retrieve article summaries using keywords. This tool provides concise information from Wikipedia's Japanese content for quick reference.
MIT
134,480 tools. Last updated 2026-05-25 19:15
"Wikipedia" matching MCP tools:
- Retrieve the section headings of a Wikipedia article by providing its title.MIT
- Retrieve the geographic coordinates of a Wikipedia article by providing its title.MIT
- Search Wikipedia for articles matching a query, with configurable result count from 1 to 500.MIT
- Retrieve a concise summary of any Wikipedia article by providing its title.MIT
- Retrieve the full text and structure of a Wikipedia article by providing its title.MIT
Matching MCP Servers
- Alicense-qualityCmaintenanceEnables AI agents to search, read, and explore Wikipedia articles via tools like summaries, categories, and random articles, with no API keys required.Last updatedMIT
- AlicenseBqualityAmaintenanceA Model Context Protocol server that retrieves information from Wikipedia to provide context to LLMs, allowing users to search articles, get summaries, full content, sections, and links from Wikipedia.Last updated22254MIT
Matching MCP Connectors
Wikipedia MCP — wraps Wikipedia REST API (free, no auth)
Wikipedia page views over time, with growth for any article topic. Free key at trendsmcp.ai
- Retrieve Wikipedia article summaries with quality scoring and source verification through the Katzilla MCP server's cultural reference tools.
- Search Internet Archive collections of uploaded media using Lucene queries to find historical books, lecture recordings, archived films, software releases, and more.MIT
- Conduct comprehensive research by automatically searching multiple engines and sources, then analyzing and cross-referencing results to validate information and create detailed briefings.MIT
- Search previously fetched pages stored in the local SQLite FTS5 index. Use to recall content already cached, avoiding re-fetching. Supports keyword queries, phrases, and boolean operators. Returns highlighted snippets with titles and URLs. Requires populated cache—use the search tool first to add pages.MIT
- Aggregate company intelligence from multiple sources to return a full profile including founding year, description, headquarters, employees, industry, tech stack, key people, and news. Use any domain or company name.MIT
- Aggregate search results from multiple backends, score by relevance, and return top content without duplicates for comprehensive research.PythonMIT
- Verify Wikipedia API connectivity by retrieving base URL, language, site information, and response time. Reports failures with error details.MIT
- Check whether the Wikipedia API is reachable and responsive. Returns the base URL, language, site info, and response time, or reports failure with error details.MIT
- Retrieve a focused summary of a Wikipedia article around a given query, with adjustable snippet length.MIT
- Identify key people at a company including founders, executives, and team members by scraping the company's website, Wikipedia, and GitHub. Returns names, titles, and sources. Provide a domain name to get started.MIT
- Gauge public interest in any entity using Wikipedia pageview traffic. Attention spikes often precede or accompany market moves. Returns pageview counts, trend direction, and percentile ranking.MIT
- Warm up a browser profile by visiting trusted sites to raise reCAPTCHA v3 trust scores from zero in 60-90 seconds, avoiding repeat warm-ups by tracking state.MIT
- Score citation likelihood for any URL by analyzing Wikipedia links, schema markup, HTTPS, and references from GitHub and Reddit.MIT
- Get a detailed author profile by providing an Open Library Author ID. Returns biography, birth/death dates, photo, and Wikipedia link.MIT