# Zimi MCP Server

> Use this tool when you need to access and manage offline knowledge bases with full-text search capabilities. It solves problems of information retrieval and library management for AI agents working with ZIM files, enabling them to read and search Kiwix archives in multiple languages. The Zimi MCP Server takes ZIM files as input and provides searchable knowledge outputs, ideal for use cases where internet connectivity is limited or offline access to information is required.

Canonical page: https://skillsregistry.net/skills/epheterson-zimi  
JSON: https://api.skillsregistry.net/v1/skills/epheterson-zimi

## Description

Enables AI agents to search, read, and manage offline knowledge from ZIM files (Kiwix archives) with full-text search, language support, and library management.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wofcb6e605)
- **Repository:** <https://github.com/epheterson/Zimi>

## 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": "epheterson-zimi"
    }
  }
}
```

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