"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.

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

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.

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.

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.

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.

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.

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

Enables MCP-compatible clients like Codex to delegate tasks to the Antigravity CLI, using ConPTY on Windows to reliably capture responses.

Enables safe exploration and querying of multiple databases (PostgreSQL, MySQL, SQLite, DB2) with read-only defaults, connection pooling, and parameterized queries for SQL injection prevention.

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.

Enables accessing and managing personal/team internal knowledge repository with tools for semantic search, smart search, document listing, and saving information for future recall.