WikiJS
by ricardocenci
Integrate with WikiJS to search, retrieve, and explore multilingual wiki content using advanced GraphQL-based operations
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
Frequently Asked Questions
- 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
Discussion
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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