OpenZIM MCP Server
The OpenZIM MCP Server transforms ZIM archives (e.g., Wikipedia, Wiktionary, Stack Exchange) into dynamic, AI-accessible knowledge bases with two operating modes:
Simple Mode (default): A single
zim_querytool interprets natural language and dispatches to the appropriate operation — ideal for smaller models.Advanced Mode: Eight specialized tools (
zim_query,zim_search,zim_get,zim_get_section,zim_browse,zim_metadata,zim_links,zim_health) for fine-grained control — suited for larger models.
Core capabilities include:
Article Retrieval — Fetch full articles, specific sections, or lead sections by name or topic.
Full-Text Search — Search within a single archive or across all loaded archives simultaneously, with title autocomplete and suggestions.
Browse & Navigate — Browse entries by namespace, list available namespaces, and enumerate archive entries.
Metadata Inspection — Retrieve archive metadata, index capabilities, and MIME type breakdowns.
Link Graph Analysis — Discover outbound links from an article or inbound links via a pre-built sidecar index.
Archive Health Validation — Validate archive integrity via checksum and structural checks.
Multi-Archive Synthesis — Cross-archive Xapian search with RRF fusion, passage extraction, section attribution, and citation rendering into a structured
SynthesizeResponse.Archive-Type Presets — Auto-tuned retrieval per source type (e.g., Stack Exchange renders as clean Q&A).
Compact Output — Strip formatting, cap content length, and optimize responses for small-model deployment.
Per-Entry MCP Resources — Subscribe to
zim://{name}/entry/{path}resources with update notifications when archives change.Flexible Deployment — Install via
uv,pip, or Docker; supportsstdioand HTTP transports with bearer auth, CORS, and health endpoints.
Provides access to ZIM format knowledge bases created by Kiwix, enabling AI agents to search and retrieve content from offline Wikipedia and other reference materials stored in compressed ZIM archives.
Allows access to Wikibooks content stored in ZIM format archives, enabling AI agents to search and retrieve educational content from offline Wikibooks collections.
Enables AI agents to access Wikipedia content stored in offline ZIM archives, providing tools for searching articles, browsing by namespace, extracting article structure, and retrieving detailed content without requiring internet connectivity.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@OpenZIM MCP Serversearch for information about quantum computing"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
✨ Highlights. A lean 8-tool advanced surface (
zim_query,zim_search,zim_get,zim_get_section,zim_browse,zim_metadata,zim_links,zim_health) with a schema small enough for small-model dispatch — or one-tool Simple mode for natural-language queries. Archive-type presets auto-tune retrieval per source (Wikipedia, Stack Exchange, …), inbound link discovery answers "what links here," and native libzim introspection validates and inspects any archive. Available on Smithery and the official MCP Registry. 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, 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 are all built in.
Install
# uv (recommended — isolated CLI tool)
uv tool install openzim-mcp
# pip
pip install openzim-mcp
# Docker (multi-arch image, ghcr.io) — runs as a local stdio MCP server
docker pull ghcr.io/cameronrye/openzim-mcp
docker run -i --rm -v /path/to/zim/files:/data ghcr.io/cameronrye/openzim-mcpThe container defaults to stdio transport, so docker run -i speaks MCP over stdin/stdout — wire it into an MCP client the same way as the binary (see Quick start). For the long-running HTTP service (bearer auth, CORS, health endpoints), opt in at runtime with -e OPENZIM_MCP_TRANSPORT=http -e OPENZIM_MCP_HOST=0.0.0.0 -e OPENZIM_MCP_AUTH_TOKEN=… -p 8000:8000; see HTTP & Docker deployment.
Verify the install:
openzim-mcp --helpDownload ZIM files from the Kiwix Library into a directory of your choice before running the server.
Smithery & one-click install
OpenZIM MCP is listed on the Smithery registry and the official MCP Registry (as io.github.cameronrye/openzim-mcp). Add it to your MCP client with the Smithery CLI:
npx @smithery/cli mcp add rye/openzim-mcp --client claudeFor a one-click Claude Desktop extension, download the openzim-mcp-<version>.mcpb asset (and its .sha256) from the latest release and double-click it. The bundle launches the version-pinned uvx openzim-mcp@<version> (so the host needs uv) and prompts for your ZIM directory. Maintainer runbook: docs/distribution.md.
Related MCP server: ZIM MCP Server
Quick start
Run the server in Simple mode (default — exposes one natural-language tool, zim_query):
openzim-mcp /path/to/zim/filesWire 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.
Highlights
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 receivenotifications/resources/updatedwhen 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 →Archive-type presets — OpenZIM MCP detects the archive type (Wikipedia, Stack Exchange, and more) and auto-tunes retrieval and summarization for it — e.g. Stack Exchange dumps render as clean Q&A instead of vote-score noise. Operators can override the bundled defaults with a TOML file (
OPENZIM_MCP_PRESETS_OVERRIDE_PATH).Native libzim introspection —
zim_health(zim_file_path=...)validates an archive's integrity (Archive.check()+ checksum), andzim_metadatareports archive identity, full-text / title index capabilities, and anM/Countermimetype breakdown. API reference →Inbound link discovery ("what links here") —
zim_links(direction="inbound")returns pages that link to an entry, ranked by linker importance. Requires a pre-built sidecar:openzim-mcp build link-graph <archive>.zim(writes<archive>.zim.linkgraph.sqlitenext to the archive). API reference →
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 |
Introduction · Installation · Quick start | |
API reference · Configuration · Resources, prompts & subscriptions | |
LLM integration patterns · Smart retrieval · HTTP & Docker deployment · Performance optimization · Security best practices · Worked examples | |
Troubleshooting · FAQ · Architecture overview |
Project status
v2.5.1 is the current release (2026-06-22); v2.0.0 GA shipped 2026-05-27. Per the published support policy — v1.x fixes accepted "until v2.5.0 ships, whichever comes first" — the v1.x maintenance window closed when v2.5.0 shipped (2026-06-18); all active development is now on the 2.x line. 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
Model Context Protocol for the open client-server protocol
The open-source community and contributors
Made with ❤️ by Cameron Rye
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