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PopNx MCPMCP servers for people who use AI · explained in plain words

Open Zk Kb

by mrosnerrversion 1.4.4i★ –iRuns on your computer
Registry nameio.github.mrosnerr/open-zk-kb

Install

Overview

Description from the maker (original English)

Shared, persistent memory for AI assistants, built on the Zettelkasten method.

PopNx MCP’s three pillars

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

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?

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": {
    "open-zk-kb": {
      "command": "npx",
      "args": [
        "-y",
        "open-zk-kb"
      ]
    }
  }
}

Run this in your terminal

claude mcp add open-zk-kb -- npx -y open-zk-kb

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "open-zk-kb": {
      "command": "npx",
      "args": [
        "-y",
        "open-zk-kb"
      ]
    }
  }
}

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": {
    "open-zk-kb": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "open-zk-kb"
      ]
    }
  }
}

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 9, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account mrosnerr, 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 5787 servers in this category
  • Published to the registry more recently than 32% of the other 5787 servers in this category
  • Basic checks equal to or better than 100% of the other 5787 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 Open Zk Kb 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 (1.4.4) reached the registry 3 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:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

by upstashWidely used↓ 972.7K/wk★ 64.2KUpdated today

Computer or cloud

Codebase Memory

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

by DeusDataWidely used↓ 18K/wk★ 48.1KUpdated 23 days ago

Runs on your computer

Exa

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

by exa-labsWidely used★ 5.2KUpdated 2 months ago

Runs in the cloud✓ exa.ai

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.

open-zk-kb

You open a new session and your agent has no idea who you are. Again. You re-explain your stack, your conventions, that one edge case you've corrected five times.

open-zk-kb gives your agent a memory — so corrections stick, context compounds, and every session starts smarter than the last.

The full loop in Pi: store a preference, carry it into a fresh session, inspect the vault, and remove it when it stops being useful.

Quick start

Requires [Bun](https://bun.sh) — install with curl -fsSL https://bun.sh/install | bash

bunx open-zk-kb@latest

The installer configures your selected clients, installs agent instructions, and creates a local vault. Supported clients: OpenCode, Claude Code, Cursor, Windsurf, Zed, Pi, and OMP.

See the Setup Guide for manual installation and troubleshooting.

Why open-zk-kb?

Your agent starts from zero every session. No memory, no learning curve. You correct the same mistakes, re-explain the same conventions, re-teach the same context. Switch tools and it's even worse — your Cursor agent doesn't know what your Claude agent learned.

open-zk-kb fixes that.

  • Correct it once, it sticks — your agent stores corrections, preferences, and decisions. Next session, it already knows.
  • Works across every tool — one knowledge base shared by Claude Code, Cursor, Windsurf, OpenCode, Zed, Pi, and OMP
  • Finds what's relevant — hybrid search matches meaning, not just keywords, so only useful context surfaces
  • Runs locally — no API keys, no cloud, works offline. Your data stays on your machine.
  • Human-readable — plain Markdown files you can browse, edit, and version control
  • Open source — MIT licensed

Pi: native knowledge tools

Install the Pi package, then restart Pi:

pi install npm:open-zk-kb

The extension exposes all ten knowledge-* tools directly in Pi. Results use Pi-native compact rendering: search, store, context, and health have focused summaries and expandable detail, while the other tools show concise status output. The MCP server and local SQLite/embedding work still run with Bun >= 1.0; Pi itself runs under its supported Node.js runtime. Installing Bun is therefore required even when using the Pi package.

Pi also loads active project preferences automatically when a session starts and injects them into model context without requiring a model-initiated search. The visible knowledge-context entry reports what happened without fabricating a tool call.

See the Pi experience guide for the complete preference workflow and renderer examples. For installer-managed instructions, verification, and troubleshooting, see Pi installation.

Configuration

Zero configuration required. Local embeddings work out of the box with no API key.

See the Configuration Guide for embeddings, vault path, lifecycle tuning, and server settings.

Under the hood

Built on the Zettelkasten method — atomic, linked notes with structured kinds. Each note captures one concept (a decision, a preference, a gotcha) and links to related notes, building an interconnected knowledge graph.

Search combines SQLite FTS5 full-text indexing with local vector embeddings (MiniLM-L6-v2) for semantic matching. Markdown files are the source of truth; the database is a rebuildable index.

Telemetry

When enabled (telemetry.enabled: true and telemetry.share: true), open-zk-kb sends one anonymous event for each completed session to PostHog (EU Cloud) on a later startup. It includes a canonical client, bounded model IDs, vault size, and counts for all ten tools—not note content, queries, paths, names, or email addresses. Runtime defaults are disabled; the interactive installer enables sharing only after affirmative consent, while unattended and direct package installs remain disabled unless configured separately. Set DO_NOT_TRACK=1 to unconditionally block sharing (local SQLite counters are unaffected), or keep both flags false. See Telemetry for the full event schema and details.

Documentation

  • Setup Guide — installation, client-specific setup, troubleshooting
  • Pi Experience — native tools, automatic preferences, and renderer gallery
  • Tools Reference — all 10 MCP tools with parameters and examples
  • Note Lifecycle — note kinds, statuses, review system
  • Configuration — embeddings, vault, lifecycle, and server settings
  • Architecture — dual storage, ownership model, design decisions
  • Development — local dev, testing, debugging
  • Contributing — guidelines for contributors

License

MIT License

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