"Wikimedia Foundation" matching MCP servers:

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 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.

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

Provides a TypeScript foundation for building MCP servers with stdio and Streamable HTTP transports, including tools, resources, prompts, health checks, and Docker support.

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

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.

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.

MCP server that exposes MAYO Apollo HRM platform's Foundation, Attendance, and Payroll APIs as AI-callable tools, enabling natural language queries for employee profiles, attendance summaries, and payroll reports.

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.

MCP server that inspects older repos, identifies stale guidance, and installs a managed foundation for better Copilot work including instructions, objectives, specialist agents, and insights.

A safety-first foundation for connecting an MCP client to AutoCAD, currently providing read-only drawing status and health/version/capabilities tools via a Python MCP server and localhost C# bridge.