
Wikidata MCP Server
The Wikidata MCP Server enables AI agents and developers to interact with the Wikidata API through the Model Context Protocol. It provides tools for searching e...
Connect your FlowHunt flows to MediaWiki with the MediaWiki-MCP-adapter. Fetch, edit, and automate wiki pages programmatically for smarter, more efficient knowledge base management.
The MediaWiki-MCP-adapter is a custom Model Context Protocol (MCP) server designed to interface with MediaWiki and WikiBase APIs. Its primary purpose is to enable AI assistants and development tools to programmatically interact with MediaWiki instances, supporting both fetching and editing of wiki pages. By exposing these capabilities through the MCP framework, it facilitates seamless integration with workflows that require contextual information retrieval or automated page edits. This adapter is particularly useful for automating knowledge base management, creating intelligent bots, or enhancing developer productivity by bridging AI systems with collaborative documentation platforms like MediaWiki.
No explicit prompt templates are documented in the repository.
{ "title": "string" }
{ "content": "string" }
{ "title": "string", "content": "string", "summary": "string (optional)" }
{ "success": "boolean" }
npm install @lucamauri/mediawiki-mcp-adapter@latest
{
"mcpServers": {
"mediawiki-mcp": {
"command": "node",
"args": ["build/index.js"]
}
}
}
Securing API Keys:
Use environment variables for sensitive information.
Example:
{
"env": {
"MEDIAWIKI_API_KEY": "${MEDIAWIKI_API_KEY}"
},
"inputs": {
"mediaWikiAPIBase": "https://your.mediawiki/api.php"
}
}
npm install @lucamauri/mediawiki-mcp-adapter@latest
{
"mcpServers": {
"mediawiki-mcp": {
"command": "node",
"args": ["build/index.js"]
}
}
}
npm install @lucamauri/mediawiki-mcp-adapter@latest
{
"mcpServers": {
"mediawiki-mcp": {
"command": "node",
"args": ["build/index.js"]
}
}
}
npm install @lucamauri/mediawiki-mcp-adapter@latest
{
"mcpServers": {
"mediawiki-mcp": {
"command": "node",
"args": ["build/index.js"]
}
}
}
Securing API Keys for all platforms:
Store API keys in environment variables and reference them in configuration, as shown above.
Using MCP in FlowHunt
To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:
Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:
{
"mediawiki-mcp": {
"transport": "streamable_http",
"url": "https://yourmcpserver.example/pathtothemcp/url"
}
}
Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “mediawiki-mcp” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.
Section | Availability | Details/Notes |
---|---|---|
Overview | ✅ | Overview and purpose are described in README. |
List of Prompts | ⛔ | No prompt templates are documented. |
List of Resources | ✅ | getPageContent resource is defined. |
List of Tools | ✅ | editPage tool is available. |
Securing API Keys | ✅ | Configuration using environment variables is shown with JSON examples. |
Sampling Support (less important in evaluation) | ⛔ | No mention of sampling support. |
The MediaWiki-MCP-adapter provides a focused and well-documented integration with MediaWiki/WikiBase APIs, offering clear resource and tool primitives for fetching and editing pages. The lack of prompt templates and sampling support limits its flexibility for complex LLM-driven workflows, but its core features are robust for content automation and knowledge base management. The presence of a license and setup guidance raises its reliability for developers. Overall, this MCP server is a solid choice for MediaWiki automation, but more advanced agentic features would further improve its score.
Has a LICENSE | ✅ (GPL-3.0) |
---|---|
Has at least one tool | ✅ |
Number of Forks | 1 |
Number of Stars | 3 |
It connects MediaWiki/WikiBase APIs to AI assistants and automation tools via the Model Context Protocol, enabling both fetching and editing of wiki pages for automated knowledge management.
You can fetch page content using `getPageContent` and perform edits with `editPage`, supporting both reading and updating MediaWiki pages programmatically.
Automated wiki content updates, bulk editing or migration, retrieving content for LLM context, managing wiki-based knowledge bases, and integrating documentation updates into developer workflows.
Yes. API keys and sensitive credentials should be stored in environment variables, as shown in the setup instructions, to ensure secure integration.
No explicit prompt templates or sampling support are included. The focus is on direct API integration for page fetching and editing.
It is licensed under GPL-3.0, providing open-source reliability and flexibility for developers.
Unlock seamless MediaWiki API automation for your bots, flows, and internal tools with FlowHunt’s MediaWiki-MCP-adapter.
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