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Budgetary: estimate token spend

作者:thriftell版本 0.13.0i★ –i在你的电脑上运行
注册名称io.github.thriftell/budgetary

安装

概览

作者提供的说明(英文原文)

Pre-flight token-spend estimate (range, scenario, confidence) for a coding task, or an abstention.

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。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 旅行、地图与天气
  • 你需要填写:BUDGETARY_API_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: BUDGETARY_API_KEY, BUDGETARY_HOST

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • 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 …”。

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

{
  "mcpServers": {
    "budgetary": {
      "command": "npx",
      "args": [
        "-y",
        "@budgetary/mcp"
      ],
      "env": {
        "BUDGETARY_API_KEY": "your-value",
        "BUDGETARY_HOST": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add budgetary --env BUDGETARY_API_KEY=your-value --env BUDGETARY_HOST=your-value -- npx -y @budgetary/mcp

运行前请先填写空着的值。

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": {
    "budgetary": {
      "command": "npx",
      "args": [
        "-y",
        "@budgetary/mcp"
      ],
      "env": {
        "BUDGETARY_API_KEY": "your-value",
        "BUDGETARY_HOST": "your-value"
      }
    }
  }
}

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": {
    "budgetary": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@budgetary/mcp"
      ],
      "env": {
        "BUDGETARY_API_KEY": "your-value",
        "BUDGETARY_HOST": "your-value"
      }
    }
  }
}

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。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • BUDGETARY_API_KEY 机密 必填 env
    Budgetary API key (bg_live_ or bg_test_ prefix). Get one at https://budgetary.tools.
  • BUDGETARY_HOST env
    Optional tag naming the MCP host this server runs under — e.g. claude-code, cursor, codex, copilot. It labels each estimate with where it came from, and an explicit value overrides the host name the…

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

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

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9日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 thriftell 验证,该账户拥有此仓库

  • … 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

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“旅行、地图与天气”中的其他服务器比较i

  • 星标数多于此分类中其他 1750 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1750 个服务器的 23% 更新
  • 基础检查结果等于或优于此分类中其他 1750 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

Budgetary: estimate token spend 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?

你需要填写:BUDGETARY_API_KEY

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.13.0)于3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。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Argon, Korea Realty, MapIron Maps (formerly PinSharing)

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:↓ 每周下载量i★ 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

Argon

Versioned MongoDB sandboxes for AI agents: branch, time-travel, merge, and undo over MCP.

作者:argon-lab起步阶段↓ 441/周今天更新

在你的电脑上运行

Korea Realty

Korean real estate: court auctions, 10M+ MOLIT records, subscription notice facts, loan/DSR rules

作者:sallim-app起步阶段今天更新

在云端运行✓ sallim.app

MapIron Maps (formerly PinSharing)

Renamed: now com.mapiron/maps. Geocoding, static and privacy-safe area maps from OSM data.

作者:Software-Consulting起步阶段今天更新

在云端运行✓ pinsharing.com

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。

@budgetary/mcp

A single Model Context Protocol server that gives any MCP-capable host — Claude Code, Cursor, GitHub Copilot, Codex, and others — a pre-flight, probabilistic token-spend estimate for a coding task before you run it, and a best-effort, never-fabricated way to measure what the task actually cost. The forecast is a probability; the measurement is a count. Where there is no firm basis to forecast a particular task, it says so instead of guessing. Build it once; add it everywhere. It replaces the previously-planned per-host extensions.

The server exposes exactly one model-invokable tool, estimate. It talks to the hosted Budgetary API at https://api.budgetary.tools.

Install — one command per host

Pass your key as BUDGETARY_API_KEY and tag the host with BUDGETARY_HOST so ledger entries distinguish where the estimate came from. Always include -y with npx so the launch never blocks on an install prompt.

Claude Code
claude mcp add budgetary \

--env BUDGETARY_API_KEY=bg_test_... \ --env BUDGETARY_HOST=claude-code \ -- npx -y @budgetary/mcp

Automatic actuals need the plugin, not just this command. claude mcp add wires the estimate tool only. The session-end hook that submits real actuals is wired by the bundled Claude Code plugin (via its manifest), so with a bare claude mcp add you get estimates but record actuals manually, the same as any other host. Install the plugin for the automatic loop — or add the hook yourself (below).

You do not have to have read this to find out: npx @budgetary/mcp doctor reports whether an automatic session-end submission has ever run on this machine, and prints the exact hook to add if none has. On an install tagged BUDGETARY_HOST=claude-code (as the command above does), the server also says so once, on its first estimate. Neither ever writes to your Claude Code configuration — nothing in this package reads or edits it.

To wire the hook without the plugin, add this to ~/.claude/settings.json yourself:

{

"hooks": { "SessionEnd": [ { "matcher": "", "hooks": [ { "type": "command", "command": "npx -y @budgetary/mcp on-session-end", "timeout": 30 } ] } ] } }

Put your key in ~/.budgetary/config.json (see API key setup) rather than interpolating it into the command, so it stays out of the process list.

The hook proves itself on use: after your next session ends, npx @budgetary/mcp doctor shows that run under Last auto:. Until then doctor still reports that no automatic submission has been recorded — that is expected, not a sign the edit failed. Nothing in this package reads your Claude Code configuration, so it cannot confirm the hook any earlier.

Cursor — .cursor/mcp.json (project) or ~/.cursor/mcp.json (global)
{

"mcpServers": { "budgetary": { "command": "npx", "args": ["-y", "@budgetary/mcp"], "env": { "BUDGETARY_API_KEY": "bg_test_...", "BUDGETARY_HOST": "cursor" } } } }

GitHub Copilot (VS Code) — .vscode/mcp.json

VS Code uses the servers key (not mcpServers) and can prompt for secrets via inputs:

{

"inputs": [ { "id": "budgetary-key", "type": "promptString", "description": "Budgetary API key", "password": true } ], "servers": { "budgetary": { "command": "npx", "args": ["-y", "@budgetary/mcp"], "env": { "BUDGETARY_API_KEY": "${input:budgetary-key}", "BUDGETARY_HOST": "copilot" } } } }

Codex
codex mcp add budgetary \

--env BUDGETARY_API_KEY=bg_test_... \ --env BUDGETARY_HOST=codex \ -- npx -y @budgetary/mcp

…or in ~/.codex/config.toml:

[mcp_servers.budgetary]

command = "npx" args = ["-y", "@budgetary/mcp"]

[mcp_servers.budgetary.env] BUDGETARY_API_KEY = "bg_test_..." BUDGETARY_HOST = "codex"

From the MCP registry (one click)

This server is listed in the MCP registry as io.github.thriftell/budgetary. The listing advertises the npm package above and nothing else. A host that installs from it prompts you for the fields the listing declares — BUDGETARY_API_KEY, which is required, and BUDGETARY_HOST, which is optional.

Set `BUDGETARY_HOST` anyway. It is what tags your estimates with the host they came from, and an explicit value always wins over anything the server detects on its own. Left blank, the host is still recorded as mcp — but the one-time notice about unsubmitted runs no longer depends on the variable: the MCP handshake already carries the host's own name, so a Claude Code install that never set it is still told, once, when nothing here is submitting its finished runs. If the listing your client reads is an older one that offers no such field, add it to that server's entry in your host's own MCP config, exactly as in the sections above.

The remote endpoint (hand-configured only)

A Streamable-HTTP endpoint exists at https://api.budgetary.tools/mcp. The registry listing no longer advertises it, because a listing entry carries a URL and nothing else: there is no field for the API key tools/call requires, and no room to tell you any of what follows at the moment you would be choosing it. Configure it by hand or not at all.

It estimates only. There is no local process on that path — no pending store, no session-end hook, no transcript to read — so nothing there can measure what a run actually cost, and the endpoint deliberately has no tool that would accept a count, because it would have to be told one rather than measure it. An estimate made through it is never closed out by an actual, by any route. Install the npm package above if you want your runs to count.

Authentication is by Authorization: Bearer bg_…; without it initialize and tools/list still answer, and tools/call returns authentication_failed. If your host caches an older copy of the listing, it may still show the remote as an install option — the withdrawal only governs the current entry.

API key setup

The server resolves the key in this order:

  1. BUDGETARY_API_KEY in the server's environment (set via the host config above).
  2. ~/.budgetary/config.json → { "api_key": "bg_...", "base_url"? }.

If neither is set, the estimate tool returns short configure-your-key guidance instead of an error — it never throws and never crashes the host.

mkdir -p ~/.budgetary

Write the key with an EDITOR so it never lands in your shell history:

"${EDITOR:-nano}" ~/.budgetary/config.json # add: { "api_key": "bg_test_..." } chmod 600 ~/.budgetary/config.json # owner-only

Prefer an editor over echo '{...}' > config.json, which records the secret in your shell history, and chmod 600 the file so it isn't world-readable.

Key prefixes denote the environment:

  • `bg_test_` — the free testing tier. Works immediately for development.
  • `bg_live_` — production. A live key must be on an active plan; if it isn't, the API returns 403 and the tool says *"Your Budgetary key isn't on an active plan."* (This is distinct from a 401, which means the key itself was rejected.)

The API key never appears in a tool result, in pending.json, or in any log line.

Optional: tag the language you're working in

You can optionally tag each estimate with the language you're working in, so your estimate history is grouped by language. Set it in the server's environment:

--env BUDGETARY_LANGUAGE=TypeScript

or add a language field to ~/.budgetary/config.json (the environment variable wins if both are set):

{ "api_key": "bg_test_...", "language": "TypeScript" }

It's a free-form display name — TypeScript, Python, Go, and so on — that the server tidies up; you don't need an exact spelling. Like BUDGETARY_HOST, it is a benign tag you declare in the environment: the language model never sets it and it is never guessed from your task description. There is intentionally no language argument on the estimate tool. If you set nothing, the estimate is simply recorded without a language — it's never required, and it never changes the estimate itself.

A plain stdio MCP server only sees the messages your host sends it, not which file you have open, so this declared value (one per host/session) is the signal it can rely on. Hosts that expose no language at all just record the estimate without one.

Optional: BUDGETARY_SOURCE — an operator's label for a batch of runs

Ordinary users have nothing to set here, and nothing changes if you don't. This exists for operators who drive this client from an automated harness (a benchmark, a load test, a scripted evaluation) and want those runs labelled so they can tell them apart from real ones afterwards.

Set it in the environment of the process you launch for that batch, so its lifetime is the batch:

BUDGETARY_SOURCE=my-harness-run <the command your harness runs>

Do not put this one in your MCP host config. Unlike BUDGETARY_HOST and BUDGETARY_LANGUAGE, this label should *not* go in claude mcp add --env, ~/.claude.json, or .mcp.json. Those are machine-wide and permanent: a label you set there for one batch silently outlives it, and every ordinary session on that machine is labelled with it afterwards — undetectably, because the rows still look perfectly normal. ~/.budgetary/config.json is not read for this variable either, on purpose — of these three, only BUDGETARY_LANGUAGE has a config.json fallback at all. A label that describes *a run* should not outlive the run.

Each actuals submission carries this label. It defaults to mcp_client. It is an opaque string — the client attaches no meaning to it, validates only its shape (up to 64 characters of A–Z a–z 0–9 . _ -), and ignores anything malformed, falling back to the default rather than failing your submission. (Run with BUDGETARY_DEBUG=1 to have it say so on stderr when it rejects a label; otherwise a typo is silent.)

Two things it is deliberately not:

  • It does not change how your data is treated. It is a label, not a setting. Setting it (or not) grants nothing, unlocks nothing, and alters nothing about what is recorded or how it is used.
  • It is not a per-task field, and the model never sets it. Like BUDGETARY_HOST and BUDGETARY_LANGUAGE, it is declared in the environment. There is intentionally no source argument on the estimate tool.

The label is resolved once, when the estimate is made, and stored on that estimate's pending entry — so if a submission has to be retried later (from a different session, with a different environment), it still reports the label of the run that actually happened.

Actuals — automatic where possible, manual otherwise, never fabricated

A pre-flight estimate is only half the loop; calibration needs the realized token counts after the run. How those are recorded depends on what the host exposes:

  • Claude Code (with the plugin) — automatic. This host writes a real session transcript. The plugin's session-end hook reads the true tokens_in + tokens_out (cache-read tokens excluded) and submits them — together with a short behavior trace: which tools the run used (Read, Edit, Bash, …), roughly how many tokens each, and two raw measurements per step — *which command it ran* (a redacted descriptor: a common program name such as pytest or go test, plus a salted, non-reversible digest of the rest — never a raw path, argument, or command) and *whether it succeeded*. The trace is measured from the transcript, never model-supplied, and any field that can't be read reliably is simply omitted; the total still submits

只显示了开头部分;其余内容请在仓库中阅读

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