by ricardocenci
Integrate with WikiJS to search, retrieve, and explore multilingual wiki content using advanced GraphQL-based operations
Integrates with WikiJS knowledge bases through GraphQL to enable search, page retrieval, and content discovery operations across multilingual wiki deployments with structured metadata and filtering capabilities.
WikiJS is a community-built MCP server published by ricardocenci that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate with WikiJS to search, retrieve, and explore multilingual wiki content using advanced GraphQL-based operations It is categorized under analytics data, productivity.
You can install WikiJS in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
WikiJS is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
WikiJS is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
WikiJS is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
WikiJS is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We wired WikiJS into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We wired WikiJS into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We evaluated WikiJS against two servers with overlapping tools; this profile had the clearer scope statement.
WikiJS is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
WikiJS has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
WikiJS has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We wired WikiJS into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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A Model Context Protocol (MCP) server that provides integration with WikiJS, allowing AI assistants to search and retrieve content from your WikiJS knowledge base.
This MCP server enables AI assistants to interact with WikiJS instances by providing tools to:
{
"mcpServers": {
"wikijs-mcp": {
"command": "npx",
"args": [
"wikijs-mcp"
],
"env": {
"WIKIJS_URL": <your wikijs url>,
"WIKIJS_API_KEY": <your wikijs api key>
}
}
}
}
Start the server TRANSPORT_METHOD=streamable-http TRANSPORT_OPTIONS_PORT=8080 npx wikijs-mcp (See Environment Variables for all available variables)
{
"mcpServers": {
"wikijs-mcp": {
"transport": "http-streamable",
"name": "WikiJS MCP",
"url": <your mcp host url with port>/mcp
}
}
}
.env filegit clone https://github.com/RicardoCenci/wikijs-mcp.git
cd wikijs-mcp
npm install
cp env.example .env
make installed:make build
docker compose up -d
npx wikijs-mcp
| Variable | Description | Required | Allowed Values | Default |
|---|---|---|---|---|
WIKIJS_URL | URL of your WikiJS instance | Yes | - | - |
WIKIJS_API_KEY | WikiJS API key | Yes | - | - |
TRANSPORT_METHOD | The transport method | No | stdio, streamable-http | stdio |
TRANSPORT_OPTIONS_CORS_ORIGIN | Cors Origin (only on streamable-http) | No | - | * |
TRANSPORT_OPTIONS_CORS_HEADERS | Cors Headers, comma separated (only on streamable-http) | No | - | Content-Type=mcp-session-id |
TRANSPORT_OPTIONS_CORS_METHODS | Cors Methods, comma separated (only on streamable-http) | No | - | GET,POST,OPTIONS |
TRANSPORT_OPTIONS_SESSION_TIMEOUT_MS | Session timeout (only on streamable-http) | No | - | 60000 |
This project is licensed under the MIT License.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.