XKnow Knowledge Base

io.github.techreone由 GitHub 帳號 techreone 發布v1.0.2更新於 Oct 24, 2026

Search and explore source-backed SEO, SaaS, and LLM-wiki knowledge from the XKnow knowledge base.

概覽

AI 產生的概覽

本機 MCP 伺服器,讓助理搜尋、閱讀、探索並引用隨套件附帶的 XKnow 知識庫(SEO、SaaS 與 LLM-wiki 主題)。

可以做什麼
  • 在知識庫中檢索,回傳排序後的標題、摘要與連結
  • 依標題或 slug 讀取單篇筆記全文,保留 wikilink
  • 沿出鏈與反向連結探索某個概念,走訪知識圖譜
  • 依欄目(seo、saas、blog)列出所有筆記
  • 取得 XKnow 的 SEO/SaaS 內容自檢規則,含優先級、理由與修正建議
  • 回傳某篇筆記的標準引用資訊(標題、描述、連結)
適用情境
適合讓助理根據經過整理、有出處的語料回答 SEO、SaaS 或 LLM-wiki 問題並標註引用來源,或沿主題間的交叉連結深入探索,而不是只拿到一份平鋪的結果。也適合用自檢規則核對內容。
執行需求
透過 npx 以 stdio 在本機執行,需要 Node.js。免費層不需帳號、API 金鑰或網路存取。完整資料庫模式需要已購買的 XKnow 資料庫資料夾,透過 --vault 參數或 XKNOW_VAULT 環境變數指定。
安裝前請注意
免費層是隨套件附帶的公開指南靜態快照,並非即時資料。完整資料庫模式會讀取本機 Markdown 資料夾,若為付費內容請留意該路徑的隱私。套件透過 npx 下載並執行,安裝前建議先檢視該套件。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 XKnow Knowledge Base,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

xknow-mcp

[npm] [license] [MCP]

XKnow · MCP server page · Source · npm · MCP Registry

An MCP server for the XKnow Knowledge Base — a curated, cross-linked body of SEO, SaaS, and LLM-wiki knowledge. Give any MCP-capable agent (Claude, Cursor, Cline, opencode, and others) the ability to search and cite it.

  • Local and private. Runs on your machine over stdio. No server, no account, no API key.
  • Static data. The free layer is a snapshot of the public XKnow guides, bundled with the package. Nothing is fetched at query time.
  • Graph-aware. Beyond keyword search, explore_concept walks the cross-links between notes, so an agent can follow a topic instead of getting a flat list.

Quick start

Add it to your MCP client.

Claude Desktop (claude_desktop_config.json), Cursor, Cline, and most clients:

json
{  "mcpServers": {    "xknow": {      "command": "npx",      "args": ["-y", "xknow-mcp"]    }  }}

Claude Code

bash
claude mcp add xknow -- npx -y xknow-mcp

opencode (opencode.json)

json
{  "mcp": {    "xknow": { "type": "local", "command": ["npx", "-y", "xknow-mcp"], "enabled": true }  }}

Then ask your agent something like:

"Use the xknow tools to explain keyword difficulty and cite the source." "Search XKnow for SaaS pricing models and summarise the trade-offs."

Tools

ToolWhat it does
search_knowledgeRanked search over the knowledge base. Returns titles, snippets, and URLs.
get_pageFull text of one note by title or slug (preserves [[wikilinks]]).
explore_conceptA note plus its outbound links and backlinks — walks the knowledge graph.
list_topicsLists every note grouped by section (seo, saas, blog).
lint_rulesThe XKnow SEO/SaaS content self-check rubric — each rule with priority (P0–P3), reasoning, fix, and the knowledge-base notes that back it.
citeReturns the canonical citation (title, description, URL) for a note.

Two knowledge layers

LayerContentHow
Free (default)The 57 public XKnow guides and blog postsBundled snapshot — just npx -y xknow-mcp
Full vaultYour purchased XKnow Knowledge Base (500+ linked notes)npx -y xknow-mcp --vault /path/to/SEO-SaaS-Vault

The full-vault mode reads a local folder of Markdown notes, so your purchased copy never leaves your machine. Set it once with the XKNOW_VAULT environment variable if you prefer:

bash
export XKNOW_VAULT="/path/to/SEO-SaaS-Vault"npx -y xknow-mcp

How it works

xknow-mcp is a Node.js stdio server. The free layer is a static JSON snapshot generated from the public site and bundled in the package (data/knowledge.json); search is a small, dependency-free ranking pass over the bundled notes. Vault mode parses Markdown notes from a local folder on the fly. No network calls, no vector database, no telemetry.

Development

bash
npm installnpm run build:data   # refresh data/knowledge.json from https://xknow.org/mcp/knowledge.jsonnpm run build        # tscnpm run smoke        # exercise every tool over a real stdio connection
# also test against a local vaultSMOKE_VAULT=/path/to/SEO-SaaS-Vault npm run smoke

Links

License

MIT — see LICENSE.

來源:README.md,提交 1207b11

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v1.0.2最新Sep 16, 2026

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