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Extracts title, author, and content (in Markdown format) from WeChat official account articles via URL, supporting both MCP stdio and HTTP server modes.

WeCom (Enterprise WeChat) document operations via MCP — create, read, and edit Docs and Smartsheets. 9 tools. Fills the doc-CRUD gap: existing WeCom MCP servers only support webhook messaging

Shared research cache for AI agents. Caches web research across sessions and users - hit means instant answer from verified sources, miss means your research saves the next dev's tokens. Semantic search with freshness tracking, gap detection, and real-time token measurement via JSONL. Free, open source.

Web search (embedded SearXNG), content extraction, and library docs indexing with hybrid search. No API keys required.

A Model Context Protocol server providing access to WeWork project management data, enabling project search, task analysis, and statistics retrieval through Claude and other LLM clients.

MCP server for UK Freedom of Information research. Connects AI assistants to WhatDoTheyKnow — the UK's largest FOI request platform to search requests, read responses, look up public authorities, and draft new requests.

An MCP server that connects Claude to WhatsApp for reading group messages, searching conversations, and sending messages. It includes advanced tools for analyzing group activity patterns, member statistics, and syncing message history.

Enables Claude to interact with WhatsApp on macOS through the Model Context Protocol. It allows reading messages, searching contacts, listing chats, and sending replies via natural conversation.

Enables seamless integration with WhatsApp through the Model Context Protocol, featuring multi-user support and Supabase cloud storage for persistent message history and media. Users can send messages, search chat records, and manage contacts across platforms like Claude Desktop, Cursor, and OpenClaw.

Enables interaction with the WhkerDB shared PDF editor to manage collaborative rooms, file structures, and real-time annotations. It allows users to upload PDFs and images, manage note trees, and sync data across platforms through natural language.

Whoop API MCP

MCP server for interacting with the Whoop API to retrieve fitness and health data

Self-contained SearXNG MCP server in Docker. Aggregates 200+ search engines across 30+ categories with multi-page fanout, autocomplete, and engine discovery. Dual transport (HTTP + stdio), API key auth, and built-in Web UI reverse proxy.

An MCP server for Wiki.js projects that enables full-text search, page retrieval, and page management capabilities. It allows LLMs to interact with wiki content through specialized tools for searching, listing, and creating pages.

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.

Provides access to Old School RuneScape wiki information and game data through MCP tools. Enables users to query OSRS game content, items, and mechanics via natural language.

Wikipedia API Server

A FastAPI-MCP server that fetches Wikipedia summaries for AI assistants, deployed using Google Colab and Ngrok.

Enables AI agents to search, read, and explore Wikipedia articles via tools like summaries, categories, and random articles, with no API keys required.

Wikipedia MCP Image Crawler

A Wikipedia Image Search Tool. Follows Creative Commons Licences for images and uses them in your projects via Claude Desktop/Cline.

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.

Integrates with the WikiTree API to provide tools for exploring genealogical data, including ancestor and descendant information. It enables users to retrieve biographies and family relationships through any application supporting the Model Context Protocol.