MCP ServiceMCP Services◷ Pending review

jev-cli

Command-line tool for TypeSafe AI's Jev model. Ask yes/no, multiple-choice and rubric questions about any text and get calibrated probabilities back. Answers become exit codes for shells and CI, JSON for scripts, and MCP tools for AI agents.

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OVERVIEW

What it does

jev-cli provides mcp services capabilities for AI tool integration, agent workflows, and context enrichment. Authentication: See official docs; HTTPS: unknown; CORS: unknown. Check the official documentation for current parameters, limits, and terms.

QUICK START

Get started

Integration guide
1. Open the official documentation: https://github.com/shaharia-lab/jev-cli
2. Authentication: See official docs; configure credentials as documented.
3. Connectivity: HTTPS unknown; CORS unknown.
4. Choose an endpoint for AI tool integration and test it with the official parameter examples.
5. Before launch, confirm rate limits, free-tier terms, data licensing, and the latest API version.

Read the official documentation and protect your credentials before using this in production.

USE CASES

Good fits

01AI tool integration
02agent workflows
03context enrichment
SOURCES

Official documentation and sources

ALTERNATIVES

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