# WikiJS

> Use this tool when you need to access and retrieve knowledge base content from WikiJS instances, enabling search, retrieval, and content discovery operations through GraphQL integration. It solves problems related to conversational access to internal documentation, knowledge management workflows, and AI-powered content discovery across multilingual wiki deployments. The tool accepts query strings, page IDs, and locale filters as inputs and returns structured page data, including content, metadata, tags, and timestamps, making it ideal for teams with complex knowledge management needs.

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

## Description

WikiJS MCP server by Ricardo Cenci Fabris that provides AI assistants with direct access to WikiJS knowledge bases through GraphQL integration, enabling search, retrieval, and content discovery operations. The implementation offers four core tools: search pages by query string with optional path and locale filtering, retrieve specific pages by ID or path/locale combination, and get all pages from the wiki instance, with all operations returning structured page data including content, metadata, tags, and timestamps. Built using TypeScript with GraphQL code generation for type safety and Docker Compose setup for local WikiJS testing, the server requires WikiJS API key authentication and serves teams needing conversational access to internal documentation, knowledge management workflows, and AI-powered content discovery across multilingual wiki deployments.

## Trust

- **Trust score (0–1):** 0.91
- **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/ricardocenci-wikijs)
- **Repository:** <https://github.com/ricardocenci/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": "ricardocenci-wikijs"
    }
  }
}
```

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