open-sourced jev-flash-router: an MCP server for TypeSafe's new Jev model. AI coding agents waste hundreds of reasoning tokens just deciding which file to edit, which route to pick, or whether a diff
View on GitHub ↗Zero-token-output decision router MCP server powered by TypeSafe Jev.
AI coding agents waste hundreds of reasoning tokens just deciding which file to edit, which route to pick, or whether a diff breaks tests. jev-flash-router evaluates context, code diffs, logs, or planning options and returns calibrated probabilities in ~150ms — with $0.00 output token cost.
- ~150ms decisions — Lightning-fast evaluation via OpenRouter Decisions API - Zero output token cost — outputtokens: 0 on every call - TypeSafe Jev — Powered by the cutting-edge typesafe/jev-latest model - MCP-native — Works seamlessly with Cursor, Windsurf, Claude Desktop, and Claude Code - Zero-config — Run via npx or build locally from source - Three decision formats — noul (binary), choice (categorical), score (rubric)
1. Get an OpenRouter API Key Obtain an API key from OpenRouter with access to the Jev model.
Option A: Run directly via npx (Recommended)
Option B: Run from Local Source (Cloned Repository)
3. Install AI Agent Skill (Recommended) To automatically configure your AI agent (Antigravity IDE, Cursor, Claude Code) with the Master Jev Skill so it proactively uses zero-token decisions:
Option C: GUI Client Setup (Manual Field Entry)
Server name: jev Executable command: node (or npx) Arguments: /path/to/jev-flash-router/dist/index.js (or -y\njev-flash-router) Environment: OPENROUTERAPIKEY=sk-or-v1-YOUR-ACTUAL-API-KEY
Go to Settings → Features → MCP Servers → Add New MCP Server:
From the project README.
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