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TuringCorp

제작자: TuringCorp-net버전 1.0.3i★ –i클라우드에서 실행
레지스트리 이름net.turingcorp.mcp/decider

설치

개요

제작자가 쓴 설명(영어 원문)

A decision model for the calls that don't have a right answer. The better option, with a reason.

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 클라우드에서 실행
  • 전송 방식: Streamable HTTP
  • 카테고리: 기타
  • 입력해야 할 값: Authorization

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

비밀로 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.

이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.

터미널에서 이 명령어를 실행하세요

claude mcp add --transport http decider https://mcp.turingcorp.net/mcp --header 'Authorization: Bearer {agent_pass}'

실행하기 전에 빈 값을 채워 주세요.

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "decider": {
      "url": "https://mcp.turingcorp.net/mcp",
      "headers": {
        "Authorization": "Bearer {agent_pass}"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "decider": {
      "type": "http",
      "url": "https://mcp.turingcorp.net/mcp",
      "headers": {
        "Authorization": "Bearer {agent_pass}"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

직접 입력할 값

  • Authorization 비밀 필수 HTTP header
    Bearer . Obtain a pass at https://agent-pass.turingcorp.net (self-service signup, email verification, then top up). A pass is valid for 7 days and can be re-rolled.

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 도메인 mcp.turingcorp.net 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    엔드포인트 응답

    아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요

  • … 아직 점검 안 함

    OAuth로 로그인

    아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요

  • … 아직 점검 안 함

    도구 설명에 숨겨진 지시 없음

    아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요

기타 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 32564개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 32564개 중 49%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 32564개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

TuringCorp, 안전한가요?

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.

어떤 키나 코드가 필요한가요?

입력해야 할 값: Authorization

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.0.3)은 42일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Tools MCP

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

Spec Driven Development

제작자: formulahendry

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

내 컴퓨터에서 실행★ 440MIT14개월 전 업데이트
설치

Remote Desktop Commander

제작자: desktop-commander

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

클라우드에서 실행★ 211어제 업데이트
설치

Tools MCP

제작자: First-CH

Web production tools for AI agents: contrast, JP text, WebP, JSON-LD, slugs, dates and 40+ more

내 컴퓨터에서 실행오늘 업데이트
설치

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

TuringCorp — MCP server

A decision model for the calls that don't have a right answer. Your agent has two defensible options and has to pick one. Send both: a panel of models judges them together and returns the better one, how far apart it judged them (a calibrated confidence), and why.

  • Endpoint (canonical): https://mcp.turingcorp.net/mcp
  • Aliases: https://mcp.turingcorp.net/ and https://mcp.turingcorp.net/mcp/
  • Health: https://mcp.turingcorp.net/healthz
  • Transport: Streamable HTTP, stateless (no session, no Durable Object). GET /mcp → 405 is normal.
  • Protocol: MCP 2026-07-28 (modern) and 2025-06-18 (legacy) — one route serves both.
  • Discovery methods (server/discover, tools/list) need no credentials — directory scanners can read the full tool list unauthenticated, by design.

Making a decision: decide

Intask (string), optionA (string), optionB (string) — all required
Outjob_id (string), betterOption ("option_A" \"option_B"), confidence (percentage string, e.g. "76.7%"), reason (string)
AnnotationsreadOnlyHint: true · openWorldHint: false · idempotentHint: false
TimeoutReserve 180–300 seconds — a decision is a long call. The timeout is a client/host setting, not a tool parameter: there is nothing to pass in the call. A 60s default cuts it off before the answer arrives; if that happens, do not call again — retrieve by job_id.
Long callsA client that declares the io.modelcontextprotocol/tasks extension gets a task handle back instead of holding one connection open for minutes, and polls tasks/get — see Retrieving a result. Clients that do not declare it see no change at all.

A successful call returns the decision inline. job_id, betterOption, confidence and reason all arrive in the *same* tool result — there is nothing to poll and nothing to fetch afterwards. The job_id is only for the case where the call never came back (timeout, dropped connection, client gave up waiting).

confidence is this service's own judgement of how far apart the two options were — a reference for your decision-making, not an instruction, not a result, and not a prediction of how the choice turns out. As a rough reading: ≥90% clearly apart · 80–90% apart, less clearly · 70–80% a closer call · <70% close to evenly matched. These ranges are descriptive only. Choose your own threshold for your own use case; for high-stakes or irreversible decisions apply your own review policy. Observed accuracy for each range, and how it was measured, is published at https://api.turingcorp.net — that page is the authority on the bands and their measured accuracy.

⚠️ idempotentHint: false is an honest declaration: a retried call is a new call. Record the `job_id` the result returns — a decision you have already paid for can be collected for 7 days with the same credential (GET https://api.turingcorp.net/v1/jobs?job_id= ; without the id, GET https://api.turingcorp.net/v1/jobs lists the job ids for that credential). Retrieve instead of retrying.

When not to use it

  • More than two options. It compares exactly A and B — there is no third slot, and it will not rank a list.
  • Anything you can compute or verify. A spec, a test, a price, a document: if something objective decides it, use that. This is for choices where no objective rule does.
  • Factual questions. It picks between two candidates; it does not look anything up.
  • Speed-critical paths. A decision is a long call and a paid one. Do not put it behind a request that has to answer in seconds.
  • High-stakes irreversible calls without review. Route on the confidence and keep your own review policy.

How to fill the three arguments

  • task — state the decision neutrally, without leaning toward either side: *"Which email do I send?"*, not *"Should I send the honest one?"*
  • optionA / optionB — one concrete option each, plus the case for it. Plain text or Markdown, any length; keep the two sides roughly comparable so the comparison is fair.
  • One option = one plan. Do not bundle alternatives into a single side ("go indoors *or* postpone"): it compares the two slots, it does not split one of them for you.
{

"task": "Which version of the delivery-slip email do I send to a client we want to keep?", "optionA": "Short and direct: the integration took longer than planned, delivery moves to the 24th, everything else is unchanged.", "optionB": "Warmer and longer: thank them for the kickoff, explain that dependencies took more time, offer to walk through the details." }

More patterns — choosing the version you send, thresholding on the confidence, and writing the two options so the comparison is fair: [docs/COOKBOOK.md](docs/COOKBOOK.md).

Retrieving a result

Every call returns a job_id. A call that is allowed to finish returns the decision inline — the `job_id` is only for the case where it never came back.

⚠️ How to retrieve — use `get_result`. Retrieval needs the Agent Pass, and inside an MCP host the agent usually does not have it — so retrieval is a tool call, not a REST call: get_result is authenticated by the host, which attaches the pass for you. An agent never handles the pass, and the credential is deliberately not a tool argument (it would end up in prompts and transcripts).

  • `get_result` with a `job_id` — that job's status, and once it succeeded, the same decision body the original call returned.
  • `get_result` with no argument — the job ids this credential created in the last 7 days. This is the case that matters most: when a call is cut off, you never received an id.
  • Read-only and free — it starts no new work and costs nothing, so it is safe to retry (readOnlyHint: true, idempotentHint: true).
  • A host that declares the io.modelcontextprotocol/tasks extension can poll tasks/get instead. Most clients do not declare it yet, which is why get_result exists.

Operator/host, with the pass (the same data over REST):

  • With the id — GET https://api.turingcorp.net/v1/jobs?job_id= using the same Agent Pass.
  • Without it — GET https://api.turingcorp.net/v1/jobs lists the job ids that credential created in the last 7 days; then fetch one as above. The list carries only the job id, the product and a timestamp.
  • Nothing yet — an empty list is not an error, and there is no job_id=0 placeholder: {"object":"list","window_seconds":604800,"data":[]}. Asking for 0 returns 404 No such job.

Retrieval returns the job's status and, once it succeeded, the same body the call itself would have returned. A job that is not yours, or older than 7 days, is reported as unavailable. GET https://api.turingcorp.net/v1/account returns {"account_id":"…"}.

The practical answer is not to need retrieval: reserve 180–300 seconds so the call is allowed to finish.

See it decide first

There is no free tier, so we publish the evidence instead: 27 real decisions, recorded verbatim — the question, both options, which one was preferred, the confidence reported, and the reason. Nine domains, three cases each: Writing · Tech · Business · Research · Career · Money · People · Travel · Everyday.

→ [https://github.com/TuringCorp-net/poe-demo-public](https://github.com/TuringCorp-net/poe-demo-public) — dataset: examples.json

Read the confidence column first. On ordinary, closely matched questions it reports 70–90%, not 99% — and that is the point of a calibrated number rather than a decorative one: a high value means the comparison was decisive and the pick can be acted on, a low value means the two options really are close and the choice stays yours. In this set the range is 27.3%–88.3%, median 74.0%, none above 90%, because these are everyday close calls, not easy ones. What the bands deliver when they *are* decisive is published at https://api.turingcorp.net.

Authentication

Send an Agent Pass: Authorization: Bearer .

Issued at [https://agent-pass.turingcorp.net](https://agent-pass.turingcorp.net) — self-service signup (email verification) → top up → get a pass. A pass is valid for 7 days and can be re-rolled. If a call is refused as an invalid credential, sign in there again and re-roll.

Errors fall into two classes, and they arrive in different places:

Credential problems are rejected before the call (HTTP 401 + WWW-Authenticate). Business failures come back as a tool result with isError: true plus a JSON block {error, http_status, action_url, message} — http_status is the upstream status; the tool call itself is HTTP 200.

ClassWhat comes backExamples
CredentialHTTP 401 + WWW-Authenticate — no tool result is producedno credential · expired or invalid pass (invalid_credential, with a re-login URL in the message)
BusinessHTTP 200, tool result isError: true, plus a JSON blockinsufficient balance (http_status 402, action_url pointing at top-up) · over quota (http_status 429)

Branch on the HTTP status first: a 401 will not succeed on retry without a new credential, whereas a business failure was a call that ran and was declined — read the block for the reason and the next step. The detailed contract is under *Errors are machine-readable* below.

Entry rate limit: 120 requests / 60 s / client IP. This is flood damping, not a quota — the real per-key quota is enforced separately. The counter is approximate: it is maintained per edge location and is eventually consistent, so a brief overshoot is possible.

Two ways in — and they are not the same

  • Through an MCP client or host (Claude Code, Cursor, VS Code, Codex, TRAE, Coze…). The host holds the credential and attaches it for you: you do not set an `Authorization` header yourself, and in most hosts you cannot. The timeout is a host setting, not something you pass in the call.
  • Directly against the REST API (https://api.turingcorp.net). Here you *do* send Authorization: Bearer yourself, and you can retrieve a job by id.

⚠️ The part that catches people out: being able to call the tool through a host does not mean you can reach the REST API. The host may never hand you the underlying Agent Pass, so a job-retrieval call you make on your own can come back 401. If your host declares the Tasks extension, retrieve through the tool surface instead (see Retrieving a result); if it does not, retrieval may simply not be reachable from where you are.

Quickstart

You need an Agent Pass to call the tool. Discovery (tools/list) works without one — calling decide does not.

🔑 Where the pass lives matters. If your client can keep it out of the file, do that — VS Code's ${input:…}, Codex's bearer_token_env_var. A pass written in plain text inside mcp.json or any client config is readable by every agent and process that can read that file, and assistants do read their own config — one can print your pass straight into its output. Treat a client config as public within your machine.

1. Get an Agent Pass

Self-service at [https://agent-pass.turingcorp.net](https://agent-pass.turingcorp.net): sign up with an email address, verify it, add credit. The pass is shown once; it is valid for 7 days and can be re-rolled at any time. Agents can do the same thing over the API — see that site's /llms.txt.

2. Point your client at the endpoint

Any client that reads a JSON config — Cursor, Windsurf, Claude Desktop:

{

"mcpServers": { "TuringCorp": { "type": "http", "url": "https://mcp.turingcorp.net/mcp", "headers": { "Authorization": "Bearer " } } } }

Keep the `"type": "htt

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