XKnow Knowledge Base

Name: XKnow Knowledge Base
Author: techreone

by techreoneversion 1.0.2i★ –iRuns on your computer

Registry nameio.github.techreone/xknow-mcp

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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

Run this in your terminal

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

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "xknow": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "xknow-mcp"
      ]
    }
  }
}

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.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account techreone, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7257 servers in this category
Published to the registry more recently than 41% of the other 7257 servers in this category
Basic checks equal to or better than 100% of the other 7257 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is XKnow Knowledge Base safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.2) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

Install

README from the maker

Open the README

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.

xknow-mcp

[XKnow](https://xknow.org) · [MCP server page](https://xknow.org/mcp) · [Source](https://github.com/techreone/xknow-mcp) · npm · MCP Registry

An MCP server for the [XKnow Knowledge Base](https://xknow.org/mcp) — 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:

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

Claude Code

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

opencode (opencode.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

Tool	What it does
`search_knowledge`	Ranked search over the knowledge base. Returns titles, snippets, and URLs.
`get_page`	Full text of one note by title or slug (preserves `[[wikilinks]]`).
`explore_concept`	A note plus its outbound links and backlinks — walks the knowledge graph.
`list_topics`	Lists every note grouped by section (`seo`, `saas`, `blog`).
`lint_rules`	The XKnow SEO/SaaS content self-check rubric — each rule with priority (P0–P3), reasoning, fix, and the knowledge-base notes that back it.
`cite`	Returns the canonical citation (title, description, URL) for a note.

Two knowledge layers

Layer	Content	How
Free (default)	The 57 public XKnow guides and blog posts	Bundled snapshot — just `npx -y xknow-mcp`
Full vault	Your 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:

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

npm install

npm run build:data # refresh data/knowledge.json from https://xknow.org/mcp/knowledge.json npm run build # tsc npm run smoke # exercise every tool over a real stdio connection

also test against a local vault

SMOKE_VAULT=/path/to/SEO-SaaS-Vault npm run smoke

License

MIT — see LICENSE.

XKnow Knowledge Base

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

xknow-mcp

Quick start

Tools

Two knowledge layers

How it works

Development

also test against a local vault

Links

License