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

Unl

by Unlimitless-Incversion 0.2.3i★ –iRuns in the cloud
Registry nameai.unlimitless/unl

Install

Overview

Description from the maker (original English)

Your why agent, the infra agent for your fleet. Your agents work from what you decided, and why.

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.

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://api.unlimitless.ai/mcp

Run this in your terminal

claude mcp add --transport http unl https://api.unlimitless.ai/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "unl": {
      "url": "https://api.unlimitless.ai/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": {
    "unl": {
      "type": "http",
      "url": "https://api.unlimitless.ai/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.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://api.unlimitless.ai/mcp

Menu names can differ slightly by plan and over time.

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

We have not read this server’s tool list yet; we check endpoints in rotation.

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 against the domain unlimitless.ai (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 checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

  • More stars than 0% of the other 18329 servers in this category
  • Published to the registry more recently than 64% of the other 18329 servers in this category
  • Basic checks equal to or better than 100% of the other 18329 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 Unl 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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.3) reached the registry 25 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Excaliself

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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Excaliself

by maciekzygmunt

Find, read, create, edit, and organize Excalidraw drawings in your self-hosted Excaliself instance.

Runs in the cloudUpdated today
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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.

Unl

Unl, your why agent. Your AI already knows how to reason. Unl gives it your reason.

See it work in two minutes, no account: node demo/changed-decision.mjs

You decide things while you work with AI: what to build, what to leave out, and why. Unl keeps those decisions with their reasons. When you or one of your agents is about to act, Unl hands over the ones that bear on the task, so Claude Code, Cursor, ChatGPT, Codex and the agents you build all start from the same why. You never re-brief them.

What is open, and what is hosted

Open, in this repository, under MIT: everything that runs on your side. The unl command, the AI SDK package, the Cursor plugin, a working example for each agent framework, and the decision format with a conformance check you can run on your own code. Read them to see exactly what leaves your machine.

Also open: the status checks, which test Unl from outside its own infrastructure.

Hosted: Unl itself, the service that keeps your decisions with their reasons and chooses which ones bear on a task, runs at api.unlimitless.ai. Its code is not in this repository.

Start

With the agent you already use, tell it:

Read unlimitless.ai/start.md, set up Unl, and show me the decisions you find.

In Claude Code or Cursor:

npm install -g unlimitless

unl # sign in once, then the Unl terminal opens unl init # in your project, for Claude Code (add --cursor for Cursor)

Then ask your agent what you are working on.

In any MCP client (ChatGPT, Claude, Codex, VS Code, Grok Bot, Lovable): add the server https://api.unlimitless.ai/mcp and sign in when it asks.

In an agent you build: make a key at unlimitless.ai/portal/keys, set it as UNL_KEY, and pick your framework below.

Connect your tools

Every tool uses the same address, https://api.unlimitless.ai/mcp, and signs in with OAuth once. There is no key to paste: a personal key is only for the API, never for connecting a tool.

Claude and Claude Desktop. Open Settings, then Connectors, and choose Add custom connector. Name it Unl, paste https://api.unlimitless.ai/mcp, and add it.

Claude Code. In your project, unl init signs you in and wires the hook that brings Unl into every turn. To add only the server:

claude mcp add --transport http unl https://api.unlimitless.ai/mcp

then run /mcp, choose unl and pick Authenticate.

ChatGPT. In Settings, open Plugins and switch on Developer mode. Choose New Plugin, name it Unl, paste https://api.unlimitless.ai/mcp as the server URL, set authentication to OAuth and keep Dynamic Client Registration. Then open Advanced OAuth settings and untick OIDC enabled: left on, ChatGPT asks for a scope Unl does not register and the connection is refused.

Cursor. Add the URL to .cursor/mcp.json, no key and no header, or install the Cursor plugin in this repository:

{ "mcpServers": { "unl": { "url": "https://api.unlimitless.ai/mcp" } } }

Everything else (Codex, VS Code, Antigravity, Grok Bot, Lovable, Viktor and more): step-by-step for each, kept current, at unlimitless.ai/connect.

What is here

FolderWhat it is
cli/The unl command. unl init adds Unl to a Claude Code or Cursor project, and unl on its own opens the Unl terminal: each turn, the decisions Unl handed your agent with their reasons, and the ones it held back.
packages/ai-sdk/@unlimitless/ai-sdk. Wrap any Vercel AI SDK model with withUnl and every call carries the part of your decisions that bears on it.
examples/One small working example per framework: Mastra, OpenAI Agents SDK, Google ADK, LangChain, Pydantic AI, LiteLLM, Cloudflare Agents, Netlify, TanStack AI, Composio, E2B, Browser Use and a GitHub Copilot custom agent.
examples/vercel-ai-sdk-chat/A chat app on the AI SDK you can deploy to Vercel with Unl already added.
.cursor-plugin/ and mcp.jsonThe Cursor plugin: Unl's MCP server, with sign-in discovered from the server. No key in the repository.
decision-format/The open format for a kept decision: what it holds, how its address is computed and checked, a conformance check you can run on your own implementation, and reference code in Node and Python. MIT, and it runs without Unl.

Try the client contract locally

git clone https://github.com/Unlimitless-Inc/unl.git

cd unl/packages/ai-sdk npm install npm test

These tests use synthetic responses. They test the client contract without an account or a model call, and do not prove hosted retrieval or model performance. The planner and writer example is the next step for trying a real changed decision in your own test project.

For example, you first choose synchronous exports because the files are small. Later you choose a queue because larger files exceed the request timeout. The job is for a fresh writer to receive the new choice and its reason, then produce a change that follows it. Compare with an equally updated file as well as stale or absent context. A maintained file may work just as well.

How an agent gets your why

Two ways in, and most examples show both:

  • On every call. A middleware, hook or instructions function asks Unl what bears on the turn and puts the answer in front of the model before it acts.
  • Through Unl's tools over MCP. The agent can open the full reasoning behind a decision, and propose a new one for you to confirm. Nothing becomes one of your decisions until you say so.

Follow the build

Unl ships changes every day, and the changelog says in plain words what each one did. To follow along, star this repository.

Contributing and security

Bug reports and small fixes are welcome: see CONTRIBUTING.md. To report a security problem, follow SECURITY.md and do not open a public issue.

Links

Licence

MIT. See LICENSE.

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