Jevx MCP
Run zero-shot Jev AI typed decisions with criteria defined in the request and get calibrated probabilities for every option.
Install
The installation steps are in the documentation below. Documentation
Documentation
From the project's README on GitHub, refreshed weekly. Links open on 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
Frequently asked questions
What is Jevx MCP?
Run zero-shot Jev AI typed decisions with criteria defined in the request and get calibrated probabilities for every option.
How do I install Jevx MCP?
Follow the installation steps in its documentation, shown on this page and in its repository.
Is Jevx MCP open source?
Its code is public on GitHub, but the repository does not declare a standard license.
Who maintains Jevx MCP?
It is published by hanshs474. AI.tn lists it but does not maintain or endorse it.
From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.