Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Offline MCP access to ZIM knowledge archives — Wikipedia, Wiktionary, Stack Exchange, Kiwix.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
OPENZIM_MCP_TOOL_MODEYou need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"openzim": {
"command": "uvx",
"args": [
"openzim-mcp"
],
"env": {
"OPENZIM_MCP_TOOL_MODE": "your-value"
}
}
}
}Run this in your terminal
claude mcp add openzim --env OPENZIM_MCP_TOOL_MODE=your-value -- uvx openzim-mcpFill in the empty values before running it.
This one needs values on its command line, so copy the settings and fill them in.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"openzim": {
"command": "uvx",
"args": [
"openzim-mcp"
],
"env": {
"OPENZIM_MCP_TOOL_MODE": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one needs values on its command line, so copy the settings and fill them in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"openzim": {
"type": "stdio",
"command": "uvx",
"args": [
"openzim-mcp"
],
"env": {
"OPENZIM_MCP_TOOL_MODE": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
OPENZIM_MCP_TOOL_MODE envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account cameronrye, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (3.4.0) reached the registry 13 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
OpenZIM MCP Server
Transform static ZIM archives into dynamic knowledge engines for AI models
✨ 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 live change notifications, and dual Simple / Advanced modes are all built in.
# uv (recommended — isolated CLI tool)
uv tool install openzim-mcp
pip install openzim-mcp
docker pull ghcr.io/cameronrye/openzim-mcp docker run -i --rm -v ~/zim-files:/data ghcr.io/cameronrye/openzim-mcp
The 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 --help
The server does nothing without an archive to read. Grab a real one — a 13.6 MB extract of English Wikipedia on climate change, from the openZIM project's own testing suite. No account, nothing to install:
mkdir -p ~/zim-files
curl -fsSL -o ~/zim-files/wikipedia_en_climate_change_mini_2024-06.zim \ https://raw.githubusercontent.com/openzim/zim-testing-suite/main/data/withns/wikipedia_en_climate_change_mini_2024-06.zim
~/zim-files is the directory every example below points the server at — the server expands ~ itself, so it works from a shell and from a client config file alike. For full archives — Wikipedia, Wiktionary, Stack Exchange and the rest, ranging from a few hundred MB to tens of GB — browse browse.library.kiwix.org and save the .zim into the same directory. More detail, including checksums and a Windows PowerShell equivalent: Quick start.
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 claude
For a one-click Claude Desktop extension, download the openzim-mcp- .mcpb asset (and its .sha256) from the latest release and double-click it. The bundle launches the version-pinned uvx openzim-mcp@ (so the host needs uv) and prompts for your ZIM directory. Maintainer runbook: docs/distribution.md.
Run the server in Simple mode (default — exposes one natural-language tool, zim_query):
openzim-mcp ~/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": "uvx", "args": ["openzim-mcp", "~/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": "uvx", "args": ["openzim-mcp", "--mode", "advanced", "~/zim-files"] } } }
For HTTP transport (long-running service with bearer auth, CORS, and health endpoints) see HTTP & Docker deployment.
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 ~24.1KB, clearing the MCP Tax pain band. API reference →zim://{name}/entry/{path} with native MIME types; clients open a subscriptions/listen stream and get resources/list_changed when a ZIM appears or disappears, resources/updated when one is replaced. Resources, prompts & subscriptions →OPENZIM_MCP_PRESETS_OVERRIDE_PATH).zim_health(zim_file_path=...) validates an archive's integrity (Archive.check() + checksum), and zim_metadata reports archive identity, full-text / title index capabilities, and an M/Counter mimetype breakdown. API reference →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 .zim (writes .zim.linkgraph.sqlite next to the archive). API reference →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.
Full documentation lives at [https://cameronrye.github.io/openzim-mcp/docs/](https://cameronrye.github.io/openzim-mcp/docs/).
| Group | Pages |
|---|---|
| Get started | Introduction · Installation · Quick start · ZIM concepts · LLM integration patterns · Worked examples |
| Concepts | Smart retrieval · Search reranking · Architecture overview |
| Reference | API reference · Configuration · Resources, prompts & subscriptions · CLI reference |
| Operate | HTTP and Docker deployment · Performance optimization · Security best practices · Troubleshooting · FAQ · Upgrading |
v3.4.0 is the current release (2026-10-25). v2.0.0 GA shipped 2026-05-27. Per SECURITY.md, the v1.x maintenance window closed when v2.5.0 shipped (2026-06-18); all active development is on the current major line. **v3.0.0 is a breaking release for HTTP subscription clien
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