"Wikimedia Commons" matching MCP servers:

A Wikimedia Commons MCP server enabling search, file metadata retrieval, category browsing, and random image selection through natural language.

Enables AI assistants to search for images on Wikimedia Commons, returning structured metadata and a composite thumbnail grid for visual comparison.

Enables natural language queries to search, retrieve, and explore Wikipedia and other Wikimedia project content, including featured articles and historical events.

MCP server for searching and attributing images from Openverse and Wikimedia Commons, enabling insertion via insertUrl and attribution formatting.

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.

Access Wikimedia REST API v1 to retrieve daily featured content and on-this-day events.

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.

Federated, license-verified search across open-access museum collections — currently The Met, Cleveland, AIC, Wikimedia Commons, and Europeana, with more being added. Strict-default-deny rights gate accepts only CC0 / Public Domain Mark, returning reuse-safe artwork with citations in three styles.

Enables searching and retrieving images from Wikipedia Commons with detailed metadata including licenses and authors.

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.

MCP server for searching and retrieving Creative-Commons-licensed images and audio from Openverse. Enables AI agents to query open media content.

Enables LLM sessions to query the SensorMesh open IoT sensor data commons, including device inventory, filtered reading windows, and per-sensor statistics, with no API keys required.

Wraps the Wikipedia REST API to allow AI agents to query Wikipedia content without authentication.

Enables fetching Wikipedia pageview statistics, including daily counts for specific articles, top articles for a day, and aggregate project views via the Wikimedia Pageviews API.

Wraps Wikimedia Feed API to provide featured articles, most-read articles, and picture of the day from Wikipedia.

Enables agents to retrieve, submit, critique, and verify structured knowledge records with provenance, uncertainty, and references over a public federated HTTP/MCP layer.

Enables LLM agents to search Wikipedia and retrieve page content via Model Context Protocol tools, supporting natural language research.

Provides comprehensive Wikipedia access for AI assistants via MCP Streamable HTTP transport, enabling search, article retrieval, summaries, section analysis, link discovery, and multi-language support.

An MCP server that retrieves and provides Wikipedia content for requested topics, enabling easy access to Wikipedia information directly through the Model Control Protocol.

Provides access to Wikipedia through 10 tools including search, article retrieval, summarization, and fact extraction, with multi-language support and robust error handling.