WikiJS▌
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.
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best for
- / General purpose MCP workflows
capabilities
what it does
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.
about
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.
how to install
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.
license
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.
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
Stdio
{
"mcpServers": {
"wikijs-mcp": {
"command": "npx",
"args": [
"wikijs-mcp"
],
"env": {
"WIKIJS_URL": <your wikijs url>,
"WIKIJS_API_KEY": <your wikijs api key>
}
}
}
}
Streamable Http
Host Machine
Start the server TRANSPORT_METHOD=streamable-http TRANSPORT_OPTIONS_PORT=8080 npx wikijs-mcp (See Environment Variables for all available variables)
IDE
{
"mcpServers": {
"wikijs-mcp": {
"transport": "http-streamable",
"name": "WikiJS MCP",
"url": <your mcp host url with port>/mcp
}
}
}
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 compose up -d
Usage
npx wikijs-mcp
Environment Variables
| 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 |
License
This project is licensed under the MIT License.
FAQ
- What is the WikiJS MCP server?
- WikiJS is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for WikiJS?
- This profile displays 60 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
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
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ 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.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.6★★★★★60 reviews- ★★★★★Ishan Thomas· Dec 24, 2024
WikiJS is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Li Shah· Dec 12, 2024
WikiJS is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Fatima Singh· Dec 12, 2024
WikiJS is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Arjun Abbas· Dec 12, 2024
We wired WikiJS into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Dhruvi Jain· Dec 8, 2024
We wired WikiJS into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Evelyn Menon· Dec 8, 2024
We evaluated WikiJS against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Oshnikdeep· Nov 27, 2024
WikiJS is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Evelyn Gupta· Nov 27, 2024
WikiJS has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Arjun Rahman· Nov 19, 2024
WikiJS has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Michael Bansal· Nov 15, 2024
We wired WikiJS into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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