MCP server for the XKnow Knowledge Base — search and explore curated SEO, SaaS, and LLM-wiki knowledge from any AI agent. Local, no API key, MIT.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Documented (README)
claude mcp add xknow-mcp -- npx -y xknow-mcp{
"mcpServers": {
"xknow-mcp": {
"command": "npx",
"args": ["-y", "xknow-mcp"]
}
}
}MCP Servers overview
# xknow-mcp
[](https://www.npmjs.com/package/xknow-mcp)
[](LICENSE)
[](https://modelcontextprotocol.io)
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:
```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
| 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:
```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 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
```
## Links
- Product page: https://xknow.org/mcp
- Knowledge base: https://xknow.org/vaults/seo
- Registry: https://registry.modelcontextprotocol.io/servers/io.github.techreone/xknow-mcp
- Source: https://github.com/techreone/xknow-mcp
## License
MIT — see [LICENSE](LICENSE).
What people ask about xknow-mcp
What is techreone/xknow-mcp?
+
techreone/xknow-mcp is mcp servers for the Claude AI ecosystem. MCP server for the XKnow Knowledge Base — search and explore curated SEO, SaaS, and LLM-wiki knowledge from any AI agent. Local, no API key, MIT. It has 0 GitHub stars and its last recorded update is dated 2026-09-12.
How do I install xknow-mcp?
+
You can install xknow-mcp by cloning the repository (https://github.com/techreone/xknow-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is techreone/xknow-mcp safe to use?
+
Our security agent has analyzed techreone/xknow-mcp and assigned a Trust Score of 87/100 (tier: Trusted). See the full breakdown of passed checks and flags on this page.
Who maintains techreone/xknow-mcp?
+
techreone/xknow-mcp is maintained by techreone. The last recorded GitHub activity is dated 2026-09-12, with 0 open issues.
Are there alternatives to xknow-mcp?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
Deploy xknow-mcp to your cloud
Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.
Maintain this repo? Add a badge to your README
Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.
[](https://claudewave.com/repo/techreone-xknow-mcp)<a href="https://claudewave.com/repo/techreone-xknow-mcp"><img src="https://claudewave.com/api/badge/techreone-xknow-mcp" alt="Featured on ClaudeWave: techreone/xknow-mcp" width="320" height="64" /></a>More MCP Servers
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
An open-source AI agent that brings the power of Gemini directly into your terminal.
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
The fastest path to AI-powered full stack observability, even for lean teams.
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!