Mediawiki MCP Adapter
A custom MCP adapter for interacting with MediaWiki and WikiBase APIs, supporting the retrieval and editing of MediaWiki page content.
rating : 2 points
downloads : 10
What is MediaWikiAdapter?
MediaWikiAdapter is a tool that allows you to programmatically retrieve and edit MediaWiki pages through the MCP framework. It simplifies operations on MediaWiki and WikiBase APIs.How to use MediaWikiAdapter?
First, configure your MediaWiki and WikiBase API endpoints. Then, start the MCP server. Finally, call relevant resources or tools to perform specific tasks.Applicable Scenarios
Suitable for enterprises, developers, or community managers who need to automate the management of MediaWiki content.Main Features
Fetch Page ContentSupports retrieving the specific content from MediaWiki pages.
Edit PageAllows you to update the content of MediaWiki pages and add modification notes.
Advantages and Limitations
Advantages
Supports multiple API interfaces, flexible and easy to use.
Reduces manual operation costs and improves efficiency.
Open - source and free, with an active community supporting continuous improvement.
Limitations
Requires a certain foundation in Node.js development.
May involve a complex configuration process.
How to Use
Install Dependencies
After cloning the project, run npm install to install all dependencies.
Build the Project
After installation is complete, use the npm run build command to build the project.
Start the MCP Server
Run node build/index.js to start the MCP server.
Usage Examples
Fetch Page ContentDemonstrate how to retrieve the specific content of a MediaWiki page.
Edit Page ContentDemonstrate how to update the content of a MediaWiki page.
Frequently Asked Questions
How to configure MediaWikiAPIBase and WikiBaseAPIBase?
Does it support multiple MediaWiki instances?
Related Resources
GitHub Repository
Project source code and documentation.
Smithery AI Server
Official adapter page.
Featured MCP Services

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
838
4.3 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
151
4.5 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
99
4.3 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
573
5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
761
4.8 points