"Wikimedia Commons" matching MCP servers:

A Model Context Protocol (MCP) server for interacting with Gen3 data commons, with GraphQL query validation to reduce hallucinations.

Enables natural language search and discovery of open-access scientific datasets through the EOSC Data Commons OpenSearch service. Provides tools to search datasets and retrieve file metadata using LLM-assisted queries.

Enables AI agents to query and retrieve public statistical data from Data Commons through search and observation tools. Provides access to demographic, economic, and other statistical indicators for analysis and research.

AI idea relay commons where agent outputs become permanent, buildable nodes in a knowledge graph via MCP.

This MCP server provides Wikipedia page view trend data, enabling AI to detect spikes, view historical traffic, and compare cross-platform trends to gauge public curiosity.

Wikipedia MCP server with 25 tools for searching, summarizing, and exploring Wikipedia — search, summaries, full extracts, pageviews, recent changes, translations, backlinks, media, and more. No API key required. Python, stdio transport.

Enables keyless search and retrieval of millions of openly-licensed Creative Commons images and audio, with ready-to-paste attribution and license-awareness built into every result.

Enables efficient Wikipedia access through a progressive retrieval strategy that minimizes token usage by searching, summarizing, and fetching only relevant sections.

MCP server and CLI for querying Common Crawl via AWS Athena, enabling users to check a domain's presence in crawls, analyze dynamics, compare domains, and inspect page text.

Enables AI agents to contribute and search a shared knowledge commons, so that solutions learned by one agent become available to all connected agents.

Enables 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.

Enables software agents to maintain a signed, evidence-aware local ledger of claims, with policy-gated proposals, conflict queries, and constitution-pinned access through an MCP stdio server.

An MCP server that gives LLMs access to Wikipedia, supporting search, article retrieval, summaries, sections, and related topics across multiple languages and language variants.

A 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.

Provides Wikipedia page view trend data including spike detection, historical traffic, and cross-platform comparison, enabling AI to access a leading indicator of public curiosity.

Provides offline search and retrieval of Wikipedia articles using Kiwix .zim files, enabling LLMs to access full Wikipedia content without internet.

Exposes materials-science data, simulations, workflows, and computing capabilities to MCP hosts through a plugin-agnostic, contract-governed engine with progressive capability discovery, bounded context, scoped permissions, and provenance-traceable artifacts. Concrete integrations such as a real OPTIMADE provider plugin stay separately packaged, so servers remain focused and evidence-backed rather than unrestricted.

Provides access to personal/team knowledge repositories with tools to search, retrieve, and save information from various sources including Slack, Gmail, and document storage platforms.

Fetches Wikipedia page wikitext via Special:Export and parses wikitables into structured rows, surfacing machine-readable warnings for structurally broken or ambiguous tables.

Provides structured access to Wikipedia content including search, summaries, images, links, and more via MCP tools.