How do I install Minecraft Wiki MCP?
Clone the repository, then run `uv sync` and `uv run minecraft-wiki-mcp`. Alternatively, use `pip install -e .` and then `minecraft-wiki-mcp`.
@L3-N0X
基本信息
A MCP Server for browsing the official Minecraft Wiki!
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"Minecraft-Wiki-MCP": {
"command": "uv",
"args": [
"sync"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
An MCP server for browsing the official Minecraft Wiki. It provides tools for searching wiki pages, retrieving page summaries, sections, full content, category members, and resolving redirects, with multi-language support. It is intended for use with LLM clients like Claude.
Install with Python 3.12+ and uv, then run uv run minecraft-wiki-mcp. Configure in claude_desktop_config.json using the uv command and pointing to the cloned directory. Set the MINECRAFT_WIKI_API_URL environment variable for a different language wiki. For remote access, start with --transport streamable-http and connect to the HTTP endpoint.
Clone the repository, then run `uv sync` and `uv run minecraft-wiki-mcp`. Alternatively, use `pip install -e .` and then `minecraft-wiki-mcp`.
Yes. Start the server with `--transport streamable-http` (defaults to `http://127.0.0.1:8000/mcp`). A public hosted instance is also available at `https://minecraft-wiki-mcp.goett.top/mcp`.
Set the `MINECRAFT_WIKI_API_URL` environment variable, for example `https://de.minecraft.wiki/api.php` for German.
Python 3.12+ and the `uv` package manager (recommended). The server uses only standard MCP and HTTP libraries.
v2 is a complete Python rewrite. Tool names changed (e.g., `minecraft_wiki_search` replaces `MinecraftWiki_searchWiki`), configuration moved to environment variables, and content is now raw wikitext instead of HTML-stripped text.

Mess in, magic out: pour in your D&D and TTRPG notes and LoreKeeper keeps them as a private store for your world. Ask Claude or ChatGPT about it, or build a sourcebook.

Personal context for every AI: search, read, and write back to your private Markdown library of articles, threads, PDFs, notes, and captured ChatGPT/Claude/Gemini/Grok conversations. Remote server, OAuth 2.1 paste-and-au
Project context your AI can query through MCP — with source evidence.

Serve your docs to AI agents over SSH and MCP. Agents use ls, cat, grep, find, and pipes against a virtual filesystem backed by your documentation. Identity-scoped access, governed writing with human approval, and portab

AI agents start every session with amnesia — you re-explain the project, repeat your preferences, and correct the same mistakes over and over. PLUR gives them a memory that persists. Your agent's corrections, preference
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