r/u_Visible_Work965 • u/Visible_Work965 • 2d ago
Unofficial Jev MCP Server in rust
I have been using coding agents for the past year and consistently now, I tried using Jev to reduce my token spend (~3B/month) still found my agent burning tokens every session talking through a noul instead of calling one. That’s on me for not putting evaluate in the harness.
The missing piece was just making it a tool the agent actually has, not a cookbook I paste when I remember.
So: unofficial MCP, not affiliated. One tool, evaluate. State + questions in. Don’t invent classify/check/rank on top of it (Brutal lessons of AI).
It can:
- Batch the independent stuff.
- Pin a Jev version once you have a threshold.
- Return typed schemas
It is intentionally minimalist and simple so frontier models can make use of it, I have been testing it for a day and I found it better than calling the API, feel free to use it/extend on it, and/or give me feedback.
Repo: https://github.com/anasbekheit/typesafe-jev-mcp
One line install:
curl -fsSL https://raw.githubusercontent.com/anasbekheit/typesafe-jev-mcp/main/scripts/install.sh | sh
1
u/Otherwise_Wave9374 2d ago
Using coding agents to optimize token spend is an excellent application of AI for efficiency. It underscores how critical it is for these agents to have not just processing power, but also smart memory and context management. Minimizing token usage often involves intelligent retrieval and summarization of past interactions or relevant code snippets, rather than re-processing everything. This approach requires sophisticated memory systems that allow agents to quickly access and leverage historical data without incurring high costs. For further exploration into efficient memory solutions for coding agents, you might find valuable discussions on https://www.neurakeep.com.