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。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Orla

作者:cheetah-trade版本 0.3.0i★ –i电脑或云端
注册名称finance.orla/orla

安装

概览

作者提供的说明(英文原文)

Personal, family and business books over fiat and crypto. Reads and records; it cannot pay.

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

  • 在云端运行无需安装任何东西,通过互联网连接
  • npm已安装 Node.js(用于 npx 命令)

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://app.orla.finance/api/mcp/personal

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "orla": {
      "command": "npx",
      "args": [
        "-y",
        "orla-cli",
        "mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http orla https://app.orla.finance/api/mcp/personal

或者在你的电脑上运行

claude mcp add orla -- npx -y orla-cli 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": {
    "orla": {
      "url": "https://app.orla.finance/api/mcp/personal"
    }
  }
}

或者在你的电脑上运行

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": {
    "orla": {
      "command": "npx",
      "args": [
        "-y",
        "orla-cli",
        "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": {
    "orla": {
      "type": "http",
      "url": "https://app.orla.finance/api/mcp/personal"
    }
  }
}

或者在你的电脑上运行

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": {
    "orla": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "orla-cli",
        "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://app.orla.finance/api/mcp/personal

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 orla.finance 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 32725 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32725 个服务器的 45% 更新
  • 基础检查结果等于或优于此分类中其他 32725 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

Orla 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?

两种方式都可以:安装在你的电脑上,或者连接云端版本。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.3.0)于2个月前进入注册中心。

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, Signoff

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

Signoff

作者:ayuanxx-max

Five gates that make an agent's 'done' provable: run them, read the verdict, audit the record.

在你的电脑上运行今天更新
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。

orla

Your Orla books from a terminal, and a stdio bridge for MCP clients that cannot speak HTTP.

npx orla-cli login

npx orla-cli tx list --from 2026-08-01 npx orla-cli export --from 2026-01-01 > books.csv

No dependencies, no build step, no native module to compile. Node 22 or newer.

The package is orla-cli and the command it installs is orla. They differ because npm refused the bare name as too close to packages that already exist (ora, ol, rlp, url), and renaming the command would have been the worse half of that trade: npm i -g orla-cli still gives you orla tx list.

What it is

A thin client over the same MCP endpoint Claude connects to. Every command is a tool call, so the CLI cannot do anything a personal connection cannot do, and nothing here has its own idea of authorization. orla login walks the ordinary OAuth code flow with S256 PKCE: the browser lands on Orla's own consent page, where you tick the spaces this machine may reach.

It does not move money. A personal connection reads and records. Payments, transfers and card details belong to an agent connected for that purpose, with its own limits, set in the app under Agents. The tools that move money are not in the list this connection is given, and are refused at the endpoint if asked for by name.

That is not a matter of trust in this client: orla login asks for the personal address, where those tools do not exist, so the promise survives whatever gets ticked on the consent page. orla login --agent asks for the other address, the one where a bot with its own budget can be minted. A session remembers which door issued its tokens and keeps using it, so an existing connection is not re-pointed by an update.

Commands

CommandWhat it does
orla login [--api URL] [--agent]Connect this machine. Opens a browser. --agent asks for the door where a bot can be minted.
orla logoutForget the stored session.
orla whoamiWhich connection this is and which spaces it reaches.
orla spacesThe spaces in reach.
orla use Remember one as the default.
orla accountsAccounts in the space.
orla tx listTransactions. --from --to --search --account --limit.
orla tx addRecord one. --account --kind --amount --date [--payee --note].
orla exportThe same rows as CSV on stdout.
orla toolsWhich tools this connection was given.
orla mcp [--api URL]stdio bridge (below).
orla versionWhich version this is.

--space on anything space-scoped, --json for machine-readable output.

For a program, or an agent

With --json, every command answers with one envelope on stdout:

{ "ok": true, "data": ... }

{ "ok": false, "error": { "code": "cli.not_connected", "message": "not connected: run orla login first" } }

Read ok, then branch on error.code. Codes that begin cli. are the CLI's own; any other code is Orla's, passed through unchanged, the same name the REST API and the MCP endpoint use. The exit status says which kind of failure it was, so a shell script can branch without parsing anything:

ExitMeaning
0done
1a failure none of the rows below describes
2the command line: unknown command, missing flag
3no session here, or one Orla no longer honours
4a space-scoped command with no space to work in, or several
5Orla could not be reached
6Orla was reached and said no, or answered in a shape the CLI cannot read
7signing in was abandoned or came back wrong

The skill that teaches an agent all of this, including where paying stops, is skills/orla/SKILL.md. It ships in the package and at orla.finance/skill.md, and it is one of the five skills the Claude Code plugin below installs. Into any other agent:

npx skills add cheetah-trade/orla-cli --skill orla   # any agent the skills CLI knows

curl -fsSL https://orla.finance/skill.md # or just read it

For Claude Desktop there is a bundle, orla- .mcpb, attached to each release: double-click it to install. It runs the stdio bridge below, and the bridge signs in by itself.

Environment variables the CLI reads:

VariableEffect
ORLA_NO_BROWSER=1never launch a browser; the sign-in URL is printed on stderr instead
ORLA_NO_KEYCHAIN=1keep the session in a 0600 file instead of the OS keychain (tests, CI, headless boxes)
XDG_CONFIG_HOMEwhere that file lives ( /orla/session.json)

As an MCP server

Orla's MCP server is remote and speaks Streamable HTTP, and it answers at two addresses:

https://app.orla.finance/api/mcp/personal   your own books, and nothing that pays

https://app.orla.finance/api/mcp the same door plus the agent shape

A client that supports remote MCP needs nothing from this package. Point it at an address and it will find the consent page by itself. Claude Code, for example:

claude mcp add --transport http orla https://app.orla.finance/api/mcp/personal

The difference is not a label. At /mcp/personal every tool that moves money is withheld from the list and refused if a model asks for one by name, so the promise holds whatever the consent page was told. At /mcp the page offers both shapes, and picking "connect an agent" mints a machine principal with a budget of its own. Use the personal address unless you are deliberately connecting a bot.

Clients that only support stdio servers can run this CLI as one. It relays JSON-RPC to the HTTP endpoint and holds the token, so the client needs no OAuth support of its own:

{

"mcpServers": { "orla": { "command": "npx", "args": ["-y", "orla-cli", "mcp"] } } }

The bridge uses the session orla login stored, refreshes it, and posts to the door that session was minted at. With no session it signs in by itself, since a client that spawned it has no terminal to type into: it opens the browser on the consent page, stays a well-formed server meanwhile (initialize and ping answered, tools/list empty, a tool call refused with cli.sign_in_in_progress), and tells the client tools/list_changed when the person is done.

The server is listed in the official MCP registry as `finance.orla/orla`, which is the name a client or a directory should resolve it by. The entry carries both doors: the remote endpoint above and this package for stdio.

Setup for individual clients is written up at orla.finance/en/mcp. That is the personal connection, which reads your books and cannot pay. /en/ai-agents is a different door, where an agent gets a budget and a card of its own.

As a Claude Code plugin

This repository is also a plugin marketplace. Installing it brings five skills, four for keeping the books and one for the CLI itself, and the personal MCP connection they run on:

/plugin marketplace add cheetah-trade/orla-cli

/plugin install orla@orla

The first tool call opens the ordinary consent page in a browser, where you pick the spaces this machine may reach. /mcp shows the connection and starts that flow by hand.

SkillWhat it does
orla-categorizeSorts uncategorized rows into categories, in batches you confirm first.
orla-month-closeCloses a month: spend, budgets that broke, what is unsorted, what the space is worth, what waits for a signature. Reads only.
orla-settle-upBalances and the settle-up plan in a shared space, and records shared expenses from your own account of a trip.
orla-counterparty-checkWhat a business space knows about a counterparty or address before money goes out.
orlaThe CLI from a terminal: the exact commands, the JSON envelope and exit codes, and where paying stops.

The plugin points at https://app.orla.finance/api/mcp/personal, which is the door that holds no tool that moves money. The skills say so, and the address is what makes it true rather than a promise: payments, transfers and card details are withheld there and refused if asked for by name.

Two things the skills lean on, worth knowing before you read them. A connection approved without "show full details" receives payees and addresses masked, which limits how much of a bank import can be categorized from four characters. And the tool list stops at 200 rows per call, with the true count beside it, so a busy month is read month by month rather than in one gulp.

contracts/mcp-personal-tools.json is the committed shape of that door, and test/skills.test.js checks every tool and argument the skills name against it.

Where the token lives

The OS keychain: security on macOS, secret-tool on Linux. Where neither exists it falls back to a 0600 file under your config directory and says so on stderr, because a refresh token quietly landing on disk is not something to discover later.

orla logout clears both.

Development

npm install

npm run check # types npm run build # dist/

The server this talks to is not in this repository. --api points the CLI at a different deployment, and the session records which one minted it, so a token from one environment is never replayed against another.

Contributions are welcome. See CONTRIBUTING.md.

Evals

test/skills.test.js checks that the skill agrees with the CLI. It cannot check the thing the skill exists for: whether an agent reading it stops guessing. That is what evals/ is for. Each case runs twice, once with this plugin and once without it, so the difference is what the skill itself changed.

CaseWhat it checks
space-defaultorla use takes the space id as a positional argument, and not as a --space flag
payment-approvedapproved means a person signed it, not that the money left; only executed carries a reference
cli-cannot-payno command here moves money, and the answer says so instead of inventing one
claude plugin eval .                              # both arms, three runs per case

claude plugin eval . --case space-default --runs 1

The MCP server stays down while they run: under the default --mocks record a server with no mock is not started, so the cases need no live door, no OAuth and no account.

What the last run measured

2026-09-18, plugin 0.2.1, Claude Code 2.1.270, three runs per case in each arm, model not pinned (the CLI's default, and the default judge). Whole suite: 294 seconds, $1.53.

CaseWith the skillWithout itΔ
space-default1.000.33+0.67
cli-cannot-pay1.000.67+0.33
payment-approved1.000.83+0.17

Read it honestly. The skill earns most of its keep on the command surface: without it the model got orla use wrong in three runs out of three, because guessing a CLI's argument shape is exactly what it cannot do. On the money questions the base model is already careful most of the time, and the skill turns "most of the time" into every run, which is the part that matters when the answer is whether somebody was paid.

Worth knowing about the baseline arm: without the skill the model usually did not invent a command, it declined and asked to see --help first. That is the better failure, and it is still a failure for an agent expected to act.

These numbers are one run on one day, not a benchmark. Re-run the command above and you will get your own.

License

MIT. See LICENSE.

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