"Wikimedia Foundation" matching MCP servers:

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

This MCP server enables AI assistants to search for images on Wikimedia Commons, providing detailed metadata and optional thumbnail combinations to assist AI models in visual comparisons.

Multilingual dictionary server via Wikimedia REST and MediaWiki Action APIs, providing word definitions, summaries, search, etymology, and pronunciations.

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

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

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

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.

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.

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.

A production-ready foundation for building secure, observable MCP servers with built-in authentication, rate limiting, and reference tools like database-query and semantic-search.

A TypeScript-based boilerplate for building Model Context Protocol (MCP) servers using the official SDK and Zod. It provides a structured foundation with a decoupled architecture to simplify the creation and registration of custom MCP tools.

MCP server that fetches Figma data (file trees, nodes, images, components, styles, variables) and serves as a foundation for Flutter code generation.

Integrates Jina AI Search Foundation APIs to provide web page content extraction and search capabilities. It supports automatic pagination, result caching, and both standard and VIP search endpoints for enhanced information retrieval.

A basic TypeScript implementation of the Model Context Protocol (MCP) server designed as a starting point for MCP development. Provides a minimal foundation for building custom MCP servers with stdio configuration for local integration with VS Code and GitHub Copilot.

Enables AI assistants to read unread Gmail messages and compose draft replies while maintaining thread continuity. It includes optional Notion integration to fetch and apply specific style guides for consistent professional communication.

A Model Context Protocol (MCP) server template built with mcp-framework, providing a foundation for creating custom tools and publishing npm packages.

A foundation for building custom local Model Context Protocol (MCP) servers that provide tools accessible to AI assistants like Cursor or Claude Desktop.

A foundation for creating custom Model Context Protocol servers that can integrate with AI systems, providing a simple BMI calculator tool as an example implementation.