# Wiki.js

> Use this tool when you need to integrate AI assistants with Wiki.js instances for comprehensive content management, enabling features like page creation, search, and tag management through a GraphQL API interface. It solves problems related to wiki content management, documentation workflows, and knowledge base integration, accepting API keys and page data as inputs and outputting managed wiki pages and metadata. Ideal for teams requiring robust AI-powered wiki management with Docker containerization and production-ready deployment options.

Canonical page: https://skillsregistry.net/skills/jaalbin24-wikijs  
JSON: https://api.skillsregistry.net/v1/skills/jaalbin24-wikijs

## Description

MCP server implementation that provides AI assistants with comprehensive access to Wiki.js instances through GraphQL API integration, supporting both HTTP and stdio transports with Docker containerization. The implementation features full CRUD operations for wiki pages including search, retrieval by path or ID, creation, updating, deletion, and moving, plus page tree navigation and tag management, all with proper authentication via API keys and fallback mechanisms for GraphQL compatibility issues. Built with Python using FastMCP and httpx with extensive test coverage, it serves teams who need AI-powered wiki content management, documentation workflows, and knowledge base integration with robust error handling and production-ready deployment options through Docker Compose.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jaalbin24-wikijs)
- **Repository:** <https://github.com/jaalbin24/wikijs-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jaalbin24-wikijs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jaalbin24-wikijs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jaalbin24-wikijs/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt