Jevx MCP
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.
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
| Tool | What it does |
|---|---|
decide | Send a state and up to 16 typed questions, get back choices, scores and noul values with probabilities |
validate_questions | Check a question's shape locally, free and without an API key, before spending credits on a malformed request |
open_in_jevx | The 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
| type | criteria | returns |
|---|---|---|
choice | object of option to meaning, two or more options | choice, probabilities, confidence |
score | ordered array, low to high | score, probabilities, confidence |
noul | exactly the keys true and false | value 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.