# Wiki.js

> Use this tool when you need to manage and synchronize documentation with codebase changes, create and update wiki pages, or search and organize content in a hierarchical structure. Wiki.js provides a comprehensive documentation management solution through its GraphQL API integration, supporting bulk updates and automatic code structure extraction. It is ideal for development teams seeking to maintain living documentation that stays up-to-date with their codebase without manual intervention.

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

## Description

A Wiki.js MCP server implementation by Sahil Pethe that provides comprehensive documentation management capabilities through GraphQL API integration. The server enables AI assistants to create, update, search, and organize Wiki.js pages with hierarchical support, while maintaining bidirectional synchronization between code files and documentation through a local SQLite database that tracks file-to-page mappings. Built with FastMCP and featuring automatic code structure extraction for Python files, it supports bulk documentation updates across multiple files, making it valuable for development teams who want to maintain living documentation that stays synchronized with their codebase changes without manual intervention.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/wikijs)
- **Repository:** <https://github.com/talosdeus/wiki-js-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": "wikijs"
    }
  }
}
```

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