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제작자가 쓴 설명(영어 원문)
Pre-flight token-spend estimate (range, scenario, confidence) for a coding task, or an abstention.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
BUDGETARY_API_KEY, BUDGETARY_HOST비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"budgetary": {
"command": "npx",
"args": [
"-y",
"@budgetary/mcp"
],
"env": {
"BUDGETARY_API_KEY": "your-value",
"BUDGETARY_HOST": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add budgetary --env BUDGETARY_API_KEY=your-value --env BUDGETARY_HOST=your-value -- npx -y @budgetary/mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"budgetary": {
"command": "npx",
"args": [
"-y",
"@budgetary/mcp"
],
"env": {
"BUDGETARY_API_KEY": "your-value",
"BUDGETARY_HOST": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"budgetary": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@budgetary/mcp"
],
"env": {
"BUDGETARY_API_KEY": "your-value",
"BUDGETARY_HOST": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
BUDGETARY_HOST env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검
레지스트리 이름이 GitHub 계정 thriftell 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: BUDGETARY_API_KEY
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.13.0)은 3개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Find a real estate agent, Sorted Travel Docs, Sorted Travel
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Find brokerages that serve an area and book a buying or selling consultation. No sign-in.
Search Sorted Travel developer docs for MCP, API, SDK, and auth questions.
Travel ranking, place facts, weather, visa, and profile tools for Sorted Travel.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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.
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 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 addwires 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 bareclaude mcp addyou 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 doctorreports 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 taggedBUDGETARY_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/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" } } } }
.vscode/mcp.jsonVS 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 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"
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.
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.
The server resolves the key in this order:
BUDGETARY_API_KEY in the server's environment (set via the host config above).~/.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
"${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, andchmod 600the file so it isn't world-readable.
Key prefixes denote the environment:
The API key never appears in a tool result, in pending.json, or in any log line.
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.
BUDGETARY_SOURCE — an operator's label for a batch of runsOrdinary 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_HOSTandBUDGETARY_LANGUAGE, this label should *not* go inclaude 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.jsonis not read for this variable either, on purpose — of these three, onlyBUDGETARY_LANGUAGEhas aconfig.jsonfallback 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:
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.
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:
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 submits앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요