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jev-mcp (CodeIA Academy)

A dependency-free MCP server that exposes TypeSafe's Jev to Claude Code, Codex, Cursor, Hermes, and other agents through the ask_jev and list_jev_models tools, so your code gets typed decisions with probabilities instead of prose to parse.
Stars
3
Language
Python
License
MIT
Reading time
3 min
Published by
Community
Author
codeia-academy
Last verified
Oct 2026

This is one of several Jev listings for the same project. The canonical entry is Jev MCP — jkudish.

Languages
Python
Platforms
MCP
Capabilities
Open sourceRuns locallyRequires API key

Highlights

  • Single-file Python server that uses only the standard library and speaks MCP over stdio when your client launches it.
  • Asks Jev through HTTPS with a Bearer TYPESAFE_API_KEY against api.typesafe.ai/v1/systemone and returns typed answers.
  • Supports Jev's answer shapes: choice with probabilities and confidence, score with a legend, and noul without confidence.
  • Mix all three question types in one call; they are evaluated in parallel and in isolation, so added questions cost only their tokens.
  • The run.sh wrapper reads the key from jev-mcp/.env because some MCP clients filter environment variables at startup.

Quickstart

bash
git clone https://github.com/CodeIA-Academy/jev-mcp.git
cd jev-mcp
cp .env.example .env
bash smoke_test.sh

Watch out

Grounded in the repository README (Spanish) and GitHub metadata reviewed on 2026-10-15; the README notes TypeSafe documents the API but publishes no official MCP server, prints no benchmark numbers, and its agent-registration section was truncated mid-sentence.

Questions about this entry

Short answers drawn from the linked project or page.

Reactions & coverage

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From the Jev guides

Original write-ups on what this entry is for.

From the Jev AI model community

Posts from builders shipping with Jev right now.

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