Run zero-shot Jev AI typed decisions with criteria defined in the request and get calibrated probabilities for every option.

التثبيت

خطوات التثبيت موجودة في التوثيق أدناه. التوثيق

التوثيق

مأخوذ من ملف README للمشروع على GitHub ويُحدَّث أسبوعيًا. تفتح الروابط على GitHub.

المحتويات
  1. Jevx MCP
  2. Tools
  3. Install
  4. Question shapes
  5. License

Jevx MCP

Run Jev AI typed decisions from any MCP client — Claude, Cursor, Cline, Codex. Give it a state and the questions you branch on, get back a choice, a score or a yes/no, with a calibrated probability on every option.

Jev AI is a zero-shot decision model from TypeSafe: text or JSON in, typed values out — no dataset, fine-tune or retrain when the label set changes. Jevx is an independent playground and API for Jev AI and is not affiliated with TypeSafe AI.

Tools

ToolWhat it does
decideSend a state and up to 16 typed questions, get back choices, scores and noul values with probabilities
validate_questionsCheck a question's shape locally, free and without an API key, before spending credits on a malformed request
open_in_jevxThe URL to try or continue a decision in the browser playground

Install

npx jevx-mcp
Claude Desktop / Claude Code
{
  "mcpServers": {
    "jevx": {
      "command": "npx",
      "args": ["-y", "jevx-mcp"],
      "env": { "JEVX_API_KEY": "sk-..." }
    }
  }
}

Create a key at jevx.org/settings/apikeys. There is no anonymous decisions endpoint — a key is required, same as running the playground signed out.

Cursor / Cline

Point the client at npx -y jevx-mcp (stdio transport) and set JEVX_API_KEY in its environment.

Question shapes

typecriteriareturns
choiceobject of option to meaning, two or more optionschoice, probabilities, confidence
scoreordered array, low to highscore, probabilities, confidence
noulexactly the keys true and falsevalue between 0 and 1, where exactly 0.5 means the model declined

The API answers HTTP 200 with a non-zero code on a refusal (bad key, malformed request); decide and validate_questions both surface that as a normal tool error, not a silent success.

License

MIT

الأسئلة الشائعة

ما هو Jevx MCP؟

Run zero-shot Jev AI typed decisions with criteria defined in the request and get calibrated probabilities for every option.

كيف أثبّت Jevx MCP؟

اتبع خطوات التثبيت في توثيقه المعروض في هذه الصفحة وفي مستودعه.

هل Jevx MCP مفتوح المصدر؟

شيفرته علنية على GitHub، لكن المستودع لا يعلن ترخيصًا قياسيًا.

من يصون Jevx MCP؟

ينشره hanshs474. يدرجه AI.tn لكنه لا يصونه ولا يوصي به.

من القوائم المجتمعية awesome-mcp-servers ومستودع المشروع على GitHub. الإدراج ليس توصية: راجع شيفرة الخادم وصلاحياته قبل منحه الوصول إلى بياناتك.