Jev Studio
One pip install for experimenting: MCP tools for Choice, Noul and Score, prompt libraries and a slash command per cookbook recipe.
Jev Studio</h1> <br> One-stop kit for playing with TypeSafe's Jev: MCP tools for Choice/Noul/Score, ready-made prompt libraries, and slash commands for every cookbook. <div> <a href="https://pypi.org/project/jev-studio/"><img src="https://img.shields.io/pypi/v/jev-studio.svg?color=brightgreen" alt="PyPI version"></a> <a href="https://pypi.org/project/jev-studio/"><img src="https://img.shields.io/pypi/dm/jev-studio.svg?color=blue" alt="PyPI downloads/month"></a> <a href="https://pepy.tech/project/jev-studio"><img src="https://static.pepy.tech/badge/jev-studio" alt="Total downloads"></a> <img src="https://img.shields.io/pypi/pyversions/jev-studio.svg" alt="Python versions"> <img src="https://img.shields.io/badge/License-MIT-blue.svg" alt="license"> <img src="https://img.shields.io/github/commit-activity/m/utk2103/jev-Studio" alt="commits"> <img src="https://img.shields.io/github/repo-size/utk2103/jev-Studio" alt="repo size"> <img src="https://img.shields.io/badge/code%20style-ruff-000000.svg" alt="code style"> </div> </div> ## Badges [](https://glama.ai/mcp/servers/utk2103/jev-studio) [](https://m8ven.ai/mcp/utk2103/jev-studio) ## Install ```bash pip install jev-studio ``` Two commands are installed: - `jev` — the CLI for TypeSafe's Jev decisions (verify, screen, classify, extract, match, route, ask, find, rerank, compact, batch). - `jev-studio` — the MCP server that serves the Jev ruleset over stdio. ## The CLI: `jev` Jev turns natural-language state and a set of typed questions into typed answers (yes/no, choice, or score) with probabilities. The CLI wraps it in one-command judgments over text you pipe in. ### Authenticate Any one of these is enough (first found wins): ```bash jev auth login # store TYPESAFE_API_KEY in the OS