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Warashi MCP

全面解析Go MCP Server MdsMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Go MCP Server Mds能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Extracts clean, structured Markdown text from web pages using WebforAI, making web content easily accessible for AI model consumption through the Model Context Protocol.

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

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.

An MCP server for Wiki.js that enables AI agents to create, read, update, search, list, and move wiki pages via the GraphQL API. It supports surgical section updates and structured content management through named sections.

A Model Context Protocol server that enables Claude to read and update documentation in Wiki.js instances through capabilities like searching, reading, creating, and updating wiki pages.

wiki-js-mcp

An MCP server that enables full management of WikiJS instances, supporting operations like page creation, searching, and updating. It also provides tools for knowledge graph exploration, content summarization, and retrieval of wiki statistics.

Enables comprehensive management of WikiJS instances through tools for searching, creating, updating, and deleting wiki pages. It supports advanced features like knowledge graph exploration, page summaries, and content exporting for documentation workflows.

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.

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.

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

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.

Enables AI assistants to create and manipulate Microsoft Word documents programmatically with support for rich text formatting, tables, lists, headings, and find-and-replace operations.

Enables programmatic generation of Microsoft Word documents (.docx) from AI-generated text and data, with support for Markdown formatting, tables, headers, and rich document elements that are saved directly to the local file system.

Enables creation and management of Word documents from markdown content, with support for multiple templates and conversion of chat conversations to formatted Word documents.

Enables automatic creation and management of weekly work reports in Korean through structured templates. Organizes work tasks and issues with automatic file management, backup/rollback, and 100% template compliance through JSON Schema validation.

A simple notes system that allows creating, storing, and accessing text notes through MCP resources and tools, with prompt support for generating summaries of all stored notes.