"Wikimedia Foundation" matching MCP servers:

Creates narrated 9:16 documentary videos from user-described topics using Wikimedia images and AI voiceover, rendered entirely on your machine.

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.

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 users to perform deterministic time series forecasting through Claude by running reproducible Python statistical and foundation models, providing tools for loading data, cross-validation, forecasting, anomaly detection, and exporting re-runnable manifests without any LLM involvement.

Provides Web3 founders with tools for project scoring, portfolio matching, fund matching, hackathon discovery, jurisdiction analysis, Twitter audit, and smart contract security review. Works with MCP-compatible assistants without transmitting file contents.

An MCP server that gives LLM agents full API access to a VMware Cloud Foundation 9.1 estate, exposing 8,931 operations through eight tools with automatic authentication, async task tracking, and write safety.

Provides a non-custodial USDC wallet on Base for AI agents, with human-in-the-loop approval for every payment.

A starter template for building single-client MCP servers that expose existing REST APIs, deployable via stdio in customer-controlled environments. It provides a structured foundation with validated config, error handling, write authorization, and a mock upstream for local development.

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.

Provides AI coding tools with queryable documentation for the AK (Active Kernel) event-driven MCU framework, including API signatures, guides, and guardrails.

MCP server for answering questions about Apache Software Foundation policies, offering tools to list, retrieve, and search policy documents on releases, licensing, branding, security, infrastructure, and incubator topics.

A starter template for building MCP servers. It provides a clean foundation for creating custom tools, resources, and prompts for AI assistants.

A production-oriented MCP server foundation for connecting Claude Desktop to social-media and marketing platforms, featuring a reusable connector framework and an optional Meta connector using official APIs.

MCP server for the FLOX trading framework. About 30 tools to run backtests, scaffold strategies, validate for lookahead bias, compute indicators, place orders, and query PnL from Claude/Cursor.

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

Connects Claude to on-premise TFS (Team Foundation Server) via REST API, enabling read/write of work items, backlogs, sprints, and pull requests without manual copy-paste.

Enables searching National Science Foundation award and funding data, including by award number, keyword, principal investigator, or institution, with no API key required.

Enables AI assistants to access Wikipedia content, search articles, retrieve historical events, and fetch images through the Wikipedia API.