Jev MCP

What it does

The server packages common Jev decisions as MCP tools that an agent can call without writing one-off integration code for each judgment.

How Jev fits in the loop

1. Expose Jev-backed judgments as MCP tools.
2. Return typed probabilities/confidence instead of prose.
3. Let the calling agent use those results in its own plan or review loop.
4. Support several Jev providers while preserving the same higher-level tool interface.

Why this build matters

It turns the model into agent infrastructure rather than a standalone destination, matching JevForAgents’ core positioning.

Reported performance

Latency: Project reports roughly 150–500ms for most judgments

Patterns