openzim-mcp 2.1.1

OpenZIM MCP - ZIM MCP Server that enables AI models to access and search ZIM format knowledge bases offline

OpenZIM MCP Server

Transform static ZIM archives into dynamic knowledge engines for AI models

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🆕 v2.0.0 — 8-tool advanced surface. Phase F consolidates 22 advanced tools into 8 (zim_query, zim_search, zim_get, zim_get_section, zim_browse, zim_metadata, zim_links, zim_health). Full release notes → Docs →

OpenZIM MCP is a modern, secure, high-performance Model Context Protocol server that gives AI models structured, offline access to ZIM format knowledge archives — Wikipedia, Wiktionary, Stack Exchange, and the rest of the Kiwix Library.

Built for research assistants, knowledge chatbots, and content-analysis systems that need intelligent access to vast knowledge repositories — not just a raw text dump. Smart navigation by namespace (articles, metadata, media), structure-aware retrieval (sections, tables of contents, related articles), full-text search with suggestions and multi-archive search_all, and link-graph extraction to map content relationships. Cached, paginated operations keep things responsive across massive archives; comprehensive input validation and path-traversal protection keep things safe.

Streamable HTTP transport, per-entry MCP resources with subscriptions, and dual Simple / Advanced modes ship in v2.0.0.

Install

# uv (recommended — isolated CLI tool)
uv tool install openzim-mcp

# pip
pip install openzim-mcp

# Docker (multi-arch image, ghcr.io)
docker pull ghcr.io/cameronrye/openzim-mcp:2.0.0
docker run --rm -v /path/to/zim/files:/zim ghcr.io/cameronrye/openzim-mcp:2.0.0 /zim

Verify the install:

openzim-mcp --help

Download ZIM files from the Kiwix Library into a directory of your choice before running the server.

Quick start

Run the server in Simple mode (default — exposes one natural-language tool, zim_query):

openzim-mcp /path/to/zim/files

Wire it into your MCP client. Example for Claude Desktop's claude_desktop_config.json (any MCP client that speaks stdio works the same way):

{
  "mcpServers": {
    "openzim-mcp": {
      "command": "openzim-mcp",
      "args": ["/path/to/zim/files"]
    }
  }
}

Once the client connects, ask your LLM: "summarize the article on Photosynthesis" — zim_query dispatches to the right underlying tool automatically.

For full control, run in Advanced mode to expose all 8 specialized tools:

{
  "mcpServers": {
    "openzim-mcp-advanced": {
      "command": "openzim-mcp",
      "args": ["--mode", "advanced", "/path/to/zim/files"]
    }
  }
}

For HTTP transport (long-running service with bearer auth, CORS, and health endpoints) see HTTP & Docker deployment.

What's in v2.0.0

• 8-tool advanced surface — zim_query, zim_search, zim_get, zim_get_section, zim_browse, zim_metadata, zim_links, zim_health. Down from 22; advanced-mode schema drops from ~36KB to ~23.5KB, clearing the MCP Tax pain band. API reference →
• Streamable HTTP transport — bearer-token auth, CORS, health endpoints, multi-arch Docker image. HTTP & Docker deployment →
• Per-entry MCP resources + subscriptions — zim://{name}/entry/{path} with native MIME types; clients subscribe and receive notifications/resources/updated when archives change. Resources, prompts & subscriptions →
• Simple-mode zim_query — one natural-language tool that dispatches to the right operation, tuned for small-model deployment targets. Quick start →

Modes

OpenZIM MCP ships two modes; pick one per client.

Simple mode (default) exposes a single intelligent tool, zim_query, that parses natural-language requests and dispatches to the right underlying operation. Built for small-model deployment targets — the wire footprint is minimal and the dispatch happens server-side, not in the LLM context. Start here unless you have a specific reason not to.

Advanced mode exposes all 8 specialized tools (zim_query, zim_search, zim_get, zim_get_section, zim_browse, zim_metadata, zim_links, zim_health) plus 3 MCP prompts (/research, /summarize, /explore) and per-entry resources. Built for larger models that can reliably dispatch over the full schema, and for clients that want fine-grained control over pagination, namespace browsing, and link-graph extraction.

Rule of thumb: models ≤ 13B parameters benefit from Simple mode; larger models (Claude Sonnet/Opus, GPT-4o-class, Llama 70B+) can dispatch Advanced mode directly. See LLM integration patterns for guidance on choosing.

Documentation

Full documentation lives at https://cameronrye.github.io/openzim-mcp/docs/.

Group	Pages
Get started	Introduction · Installation · Quick start
Reference	API reference · Configuration · Resources, prompts & subscriptions
Guides	LLM integration patterns · Smart retrieval · HTTP & Docker deployment · Performance optimization · Security best practices · Worked examples
Operations	Troubleshooting · FAQ · Architecture overview

Project status

v2.0.0 GA shipped 2026-05-27. v1.x is in maintenance mode — security fixes, data-corruption fixes, and pre-v2.0.0 crash fixes accepted through 2026-11-27 or until v2.5.0 ships, whichever comes first. Full release history: CHANGELOG.md.

Contributing

See CONTRIBUTING.md for development setup, test commands, code style, and the release process.

Security

See SECURITY.md for the vulnerability disclosure policy. No known CVEs.

License

MIT. See LICENSE.

Acknowledgments

• openZIM and Kiwix for the ZIM format and libzim library
• Model Context Protocol for the open client-server protocol
• The open-source community and contributors

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Made with ❤️ by Cameron Rye