Jevx MCP
Run zero-shot Jev AI typed decisions with criteria defined in the request and get calibrated probabilities for every option.
Installation
Les étapes d'installation sont dans la documentation ci-dessous. Documentation
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent 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-mcpClaude 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
Questions fréquentes
Qu'est-ce que Jevx MCP ?
Run zero-shot Jev AI typed decisions with criteria defined in the request and get calibrated probabilities for every option.
Comment installer Jevx MCP ?
Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.
Jevx MCP est-il open source ?
Son code est public sur GitHub, mais le dépôt ne déclare pas de licence standard.
Qui maintient Jevx MCP ?
Il est publié par hanshs474. AI.tn le référence sans le maintenir ni le recommander.
Issu des listes communautaires awesome-mcp-servers et du dépôt GitHub du projet. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.