# OpenZIM MCP Server

> OpenZIM MCP Server — obunagalabs-openzim-mcp. Use this tool when you need to provide AI models with offline access to structured knowledge archives, such as Wikipedia and Wiktionary, and enable features like full-text search and link-graph extraction. It solves problems related to information retrieval and knowledge integration, offering a range of tools and modes to suit different use cases. With inputs like natural-language queries and outputs like relevant articles and resources, this tool is ideal for applications requiring offline knowledge access with advanced navigation and retrieval capabilities.

Canonical page: https://skillsregistry.net/skills/obunagalabs-openzim-mcp  
JSON: https://api.skillsregistry.net/v1/skills/obunagalabs-openzim-mcp

## Description

OpenZIM MCP Server provides AI models structured, offline access to ZIM format knowledge archives (Wikipedia, Wiktionary, Stack Exchange, Kiwix Library) via a Model Context Protocol server with smart namespace navigation, full-text search with suggestions, structure-aware retrieval (sections, tables of contents, related articles), link-graph extraction, archive-type presets, and both Simple (single natural-language tool) and Advanced (8 specialized tools) modes with streamable HTTP transport, bearer auth, and per-entry resources with subscriptions.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v3dyv6exqy)
- **Repository:** <https://github.com/ObunagaLabs/openzim-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": "obunagalabs-openzim-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/obunagalabs-openzim-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/obunagalabs-openzim-mcp/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