Wuniq KE (Knowledge Engine)

Name: Wuniq KE (Knowledge Engine)
Author: Wuniq

by Wuniqversion 1.0.3i★ –iRuns on your computer

Registry namecom.wuniq/wuniq

Install

Overview

Description from the maker (original English)

The structured memory layer your AI is missing. Requires the free Wuniq desktop app.

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": {
    "wuniq": {
      "command": "npx",
      "args": [
        "-y",
        "@wuniq/mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add wuniq -- npx -y @wuniq/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "wuniq": {
      "command": "npx",
      "args": [
        "-y",
        "@wuniq/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": {
    "wuniq": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@wuniq/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 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain wuniq.com (the registry checks domain ownership)
… 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 7243 servers in this category
Published to the registry more recently than 26% of the other 7243 servers in this category
Basic checks equal to or better than 100% of the other 7243 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 Wuniq KE (Knowledge Engine) 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 (1.0.3) 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:★ 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 3 days ago

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 44 days ago

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.

Wuniq MCP

Wuniq is free. This MCP package requires the Wuniq desktop app, currently available for Windows and Linux. Download it only through the official, trusted links at [wuniq.com](https://www.wuniq.com). Do not use third-party mirrors.

Wuniq is a knowledge engine for AI-assisted work. It stores decisions, constraints, intent, and human reasoning in .wuniq files beside your project files, so any MCP-compatible AI can read and maintain the knowledge exactly where the work lives.

Wuniq is local-first: no account, no cloud storage, and no telemetry.

What this repository contains

This repository contains the small, open-source MCP launcher published as @wuniq/mcp, the manifest submitted to the official MCP Registry, and thin wrappers for Claude, Codex, Antigravity, and Gemini CLI that all start the same launcher.

The launcher has zero dependencies. It connects your MCP client to the MCP server included with the installed Wuniq desktop app:

MCP-compatible AI or IDE

| v npx @wuniq/mcp | v Installed Wuniq desktop app | v Local projects and .wuniq knowledge

The Wuniq Knowledge Engine itself is not contained in this repository and is not distributed through npm. The MIT license in this repository applies only to the launcher.

Install and connect

Install the free Wuniq desktop app using an official download link from wuniq.com.
Add Wuniq from your IDE's MCP registry gallery, where supported, or configure it manually:

"mcpServers": { "wuniq": { "command": "npx", "args": ["-y", "@wuniq/mcp"] } } }

Already have the app installed? You can also point your MCP configuration directly to the wuniq-mcp command placed on your PATH by the official Wuniq installation. Both methods connect to the same local engine.

Per-IDE instructions and current platform availability are maintained at wuniq.com.

OpenCode

OpenCode uses a project-level opencode.json file. Add Wuniq under its mcp key, keeping any providers, permissions, or other MCP servers already present:

"$schema": "https://opencode.ai/config.json", "mcp": { "wuniq": { "type": "local", "command": ["npx", "-y", "@wuniq/mcp"], "enabled": true, "timeout": 30000 } } }

Then add the Wuniq workflow to the project's AGENTS.md without removing any existing instructions:

# Wuniq KE (Knowledge Engine)

At the start of every session, run open list using the Wuniq MCP tool. If it returns projects, open each one. If the list is empty, proceed normally — the user may open projects later from the Wuniq UI. Never assume the working directory is a Wuniq project; the working directory may be a container folder holding multiple projects. Only open paths that open list explicitly returns.

Before working on any code file, read its Wuniq sidecar for context. After changing code, run sync.

This route was validated on Windows with OpenCode Desktop 1.18.4, Wuniq 1.15.1, and @wuniq/mcp 1.0.1. MCP connection and the open, read, and sync calls worked correctly. Models vary in how reliably they act on AGENTS.md without prompting, so open list can always be requested explicitly.

See the full Wuniq + OpenCode integration guide for verification, Linux instructions, Precise mode, and troubleshooting.

Claude plugin

The repository root is also a Claude plugin. It does not contain a second MCP server: .mcp.json starts the published @wuniq/mcp launcher, which connects Claude to the MCP server inside the installed Wuniq app.

The plugin includes one compact skill that teaches Claude the safe Wuniq workflow: discover visible projects first, read their context before working, preserve confirmed decisions, and synchronize after changes. It does not pre-approve tools or elevate permissions.

Before marketplace submission, the plugin can be checked and loaded locally with Claude Code:

claude plugin validate --strict .

claude --plugin-dir .

Codex plugin

The same repository is also a Codex plugin. Its .codex-plugin/plugin.json reuses the same skill and .mcp.json; it starts @wuniq/mcp locally and does not create a hosted service or upload project data.

Add the public Wuniq marketplace from Codex:

codex plugin marketplace add Wuniq/wuniq-mcp --ref main

Then open the Plugins directory in the ChatGPT desktop app, select the Wuniq marketplace, and install Wuniq. Start a new Codex session after installation so the skill and MCP server are loaded.

ChatGPT on the web cannot run this local stdio MCP server. Wuniq's full integration is therefore for local Codex clients: the ChatGPT desktop app, Codex CLI, and the Codex IDE extension.

Antigravity plugin

The repository root is a native Antigravity plugin. Its mcp_config.json starts the published @wuniq/mcp launcher, while skills/wuniq/SKILL.md supplies the safe Wuniq workflow. It does not contain a second MCP server or upload project data.

Install it in Antigravity CLI from the public repository:

agy plugin install https://github.com/Wuniq/wuniq-mcp

In Antigravity 2.0, Wuniq can also be configured as a custom MCP server with the same npx -y @wuniq/mcp command while its MCP Store listing is under review.

Gemini CLI extension

The repository root is also a Gemini CLI extension. Its gemini-extension.json starts the same published @wuniq/mcp launcher, while skills/wuniq/SKILL.md supplies the safe Wuniq workflow as an Agent Skill. It does not contain a second MCP server or upload project data.

Install it directly from the public repository:

gemini extensions install https://github.com/Wuniq/wuniq-mcp

Restart Gemini CLI after installation so the extension and its MCP tools are loaded.

Google has transitioned personal, Pro, and Ultra users from Gemini CLI to Antigravity CLI. The Gemini CLI extension remains available for supported Enterprise, Google Cloud, and API-based environments.

Example prompts

"Open the Wuniq projects visible to you and summarize the important context for this task."
"Before changing the authentication module, read its Wuniq context and preserve the constraints already decided."
"Record the decision we just made, implement the change, and run Wuniq sync when you finish."

Troubleshooting

The Wuniq app is missing: install it only from the official links at wuniq.com, then start a new Claude, Codex, Antigravity, or Gemini CLI session.
`open list` returns no projects: open the intended project in the Wuniq desktop interface and ask your AI client to try again.
The launcher cannot start: confirm that Node.js and npx are available, or use the direct per-client setup documented at wuniq.com.

How the launcher works

The launcher passes the MCP client's standard input and output directly to the MCP server included with the installed app. If Wuniq is not installed, it exposes only a minimal MCP response explaining how to obtain the official app.

It does not configure IDEs, contain Wuniq product logic, upload project data, or provide a second Knowledge Engine.

Security

Only install Wuniq through links published on wuniq.com. Do not use third-party mirrors or repackaged installers.

To report a security issue, use this repository's private vulnerability reporting instead of opening a public issue. See SECURITY.md.

License

The MCP launcher and the Claude, Codex, Antigravity, and Gemini CLI wrappers in this repository are licensed under the MIT License. The Wuniq desktop app and Knowledge Engine are separate software and are not covered by this repository's license.

Wuniq KE (Knowledge Engine)

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

Wuniq MCP

What this repository contains

Install and connect

OpenCode

Claude plugin

Codex plugin

Antigravity plugin

Gemini CLI extension

Example prompts

Troubleshooting

How the launcher works

Security

Links

License