原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Unl

作者:Unlimitless-Inc版本 0.2.3i★ –i在云端运行
注册名称ai.unlimitless/unl

安装

概览

作者提供的说明(英文原文)

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://api.unlimitless.ai/mcp

在终端中运行这条命令

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

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "unl": {
      "type": "http",
      "url": "https://api.unlimitless.ai/mcp"
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://api.unlimitless.ai/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 unlimitless.ai 验证(注册中心会核实域名所有权)

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 18334 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 18334 个服务器的 64% 更新
  • 基础检查结果等于或优于此分类中其他 18334 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Unl 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.2.3)于25天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, ProAgentStore

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者:formulahendry

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

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

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

在云端运行★ 211前天更新
安装

ProAgentStore

作者:ProAgentStore

MCP-first control plane for ProAgentStore agents and private instances.

在云端运行今天更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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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