WikiJS MCP Server
Enables AI assistants to search and retrieve content from WikiJS knowledge bases, allowing integration with your Wiki through simple search and retrieval tools.
README
WikiJS MCP Server
A Model Context Protocol (MCP) server that provides integration with WikiJS, allowing AI assistants to search and retrieve content from your WikiJS knowledge base.
Overview
This MCP server enables AI assistants to interact with WikiJS instances by providing tools to:
- Search for pages by query string
- Retrieve pages by ID
- Retrieve pages by path and locale
- Get all pages from the wiki
Configuration for Cursor
{
"mcpServers": {
"wikijs-mcp": {
"command": "npx",
"args": [
"wikijs-mcp"
],
"env": {
"WIKIJS_URL": <your wikijs url>,
"WIKIJS_API_KEY": <your wikijs api key>
}
}
}
}
Getting a WikiJS API Key
- Log into your WikiJS instance as an administrator
- Go to Administration > API Access
- Create a new API key with appropriate permissions
- Copy the generated key to your
.envfile
Development
- Clone the repository:
git clone https://github.com/RicardoCenci/wikijs-mcp.git
cd wikijs-mcp
- Install dependencies:
npm install
- Copy the environment template and fill out its contents
cp env.example .env
- Build the project
If you have
makeinstalled:
make build
- Deploy the WikiJS instance for testing
docker composer up -d
Usage
npx wikijs-mcp
Environment Variables
| Variable | Description | Required | Default |
|---|---|---|---|
WIKIJS_URL |
URL of your WikiJS instance | Yes | - |
WIKIJS_API_KEY |
WikiJS API key | Yes | - |
License
This project is licensed under the MIT License.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.