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TuringCorp

von TuringCorp-netVersion 1.0.3i★ –iLäuft in der Cloud
Name in der Registrynet.turingcorp.mcp/decider

Installieren

Überblick

Beschreibung vom Entwickler (englisches Original)

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

Die drei Säulen von PopNx MCP

Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.

Was du damit machen kannst

Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.

  • Verbindung: Läuft in der Cloud
  • Transport: Streamable HTTP
  • Kategorie: Sonstiges
  • Das musst du eintragen: Authorization

Installation

Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.

Bevor du installierst

  • Basischecks: 1 von 1 bestanden
  • Läuft auf dem Server des Entwicklers: Was du fragst, läuft über dessen Server.
  • Das trägst du selbst ein: Authorization

Als geheim markierte Werte sind Schlüssel zu deinem Konto. Gib sie nie weiter und füge sie nie in einen Chat ein.

Du brauchst

Welche App nutzt du?

Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.

Diese Adresse braucht einen Schlüssel in einem Header der Anfrage, und das Menü zum Hinzufügen von Connectors kann ihn nicht setzen. Nutze stattdessen Claude Code, Cursor oder VS Code.

Führe das in deinem Terminal aus

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

Trag die leeren Werte ein, bevor du ihn startest.

In Cursor öffnen

Oder kopier die Einstellungen selbst

In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen

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

Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.

In VS Code öffnen

Oder kopier die Einstellungen selbst

In .vscode/mcp.json in deinem Projekt einfügen

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

Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.

Diese Adresse braucht einen Schlüssel in einem Header der Anfrage, und das Menü zum Hinzufügen von Connectors kann ihn nicht setzen. Nutze stattdessen Claude Code, Cursor oder VS Code.

Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.

Werte, die du selbst einträgst

  • Authorization geheim erforderlich 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.

Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.

Was er kann

Die Tool-Liste dieses Servers haben wir noch nicht gelesen; wir prüfen die Endpunkte reihum.

Basischecksi

Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 6. Nov. 2026

  • ✓ Bestanden

    Entwickler passt zum Repo

    Der Registry-Name wurde über die Domain mcp.turingcorp.net bestätigt (die Registry prüft, wem die Domain gehört)

  • … Noch nicht geprüft

    Wird noch gepflegt

    Dieses Repo haben wir noch nicht von GitHub gelesen

  • … Noch nicht geprüft

    Hat eine Lizenz

    Dieses Repo haben wir noch nicht von GitHub gelesen

  • … Noch nicht geprüft

    Endpunkt antwortet

    Noch nicht geprüft; wir prüfen die Endpunkte reihum

  • … Noch nicht geprüft

    Anmeldung mit OAuth

    Noch nicht geprüft; wir prüfen die Endpunkte reihum

  • … Noch nicht geprüft

    Keine versteckten Anweisungen in Tool-Beschreibungen

    Noch nicht geprüft; wir lesen die Tool-Liste, wenn wir den Endpunkt prüfen

Im Vergleich mit anderen in Sonstigesi

  • Mehr Sterne als 0 % der anderen 32433 Server in dieser Kategorie
  • Neuer in der Registry veröffentlicht als 49 % der anderen 32433 Server in dieser Kategorie
  • Basischecks gleich gut wie oder besser als bei 100 % der anderen 32433 Server in dieser Kategorie

Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.

Häufige Fragen

Ist TuringCorp sicher?

Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.

Welche Schlüssel oder Codes braucht er?

Das musst du eintragen: Authorization

Läuft er auf meinem Computer oder in der Cloud?

Er läuft in der Cloud des Entwicklers. Du verbindest dich übers Internet, ohne etwas zu installieren, aber was du sendest, läuft über die Server des Entwicklers.

Wird er noch gepflegt?

Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (1.0.3) kam vor 41 Tagen in die Registry.

Welche Apps können ihn nutzen?

Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL, also funktionieren auch Apps, die Remote-MCP-Server akzeptieren, zum Beispiel ChatGPT im Entwicklermodus.

Was kann ich stattdessen nutzen?

In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, Symantec Cloud DLP AIops

Alternativen

Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.

So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti

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

Läuft auf deinem Computer★ 440MITAktualisiert vor 14 Monaten
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Remote Desktop Commander

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

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README vom Entwickler

README öffnen

Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.

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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