Skip to content

Jev Ultrafast MCP

MCP server where one browser_goal call hands a URL, a goal, and code-checked assertions to a server-side loop driven by a decision model over live page elements.

Stars
19
Language
Python
License
MIT
Published by
Community
Author
jiawei686
Last verified
Oct 2026

Hand a whole browser task off in one call: a decision model drives the page server-side, so a flow costs one call, not a turn per click. Ref-based element tables, code-checked assertions, zero-model macro replay, over the Chrome DevTools Protocol.

Forks
2
Last pushed
Updated Sep 2026

Repo stats from the GitHub API, cached Oct 2026.Homepage

About this project

Hand the browser work off — an MCP server that drives the page for your agent. Your agent should not be opening the browser at all. A browser task goes over whole — the URL, the goal, and the check that proves it — and the loop runs on the server. One tool call instead of twenty. Three seconds instead of a minute. A cent instead of a frontier model's context. And it never invents a target: it picks from what the page actually has, and the server refuses rather than guesses.

Quoted from the project's README. Read the full README.

Highlights

  • Server-side loop picks targets from the page element table, never invented selectors.
  • Code-checked assertions decide success, outranking the model own summary.
  • Recorded macros replay with zero model calls and refuse on page mismatch.
  • Speaks directly to an installed Chromium browser with no screenshot or driver stack.

Watch out

Complex or dynamic pages may still need hand-driven tools, and repeated runs depend on the page matching the recorded macro. Copy reviewed against the repository README on 2026-10-04, not from running it.

Questions about this entry

Short answers drawn from the linked project or page.

More Jev resources like this

22GitHub stars
Independent open-source local decision model inspired by Jev, with a spark-s1 family plus smaller control models for agent gates, served locally with probabilities and policy actions.
Jev Demos & Experiments#community#jevbest#catalog-import
4GitHub stars
Browser-use layer for CLI coding agents: Jev picks the operation and target element in one round trip per step, exposed over MCP with a CLI, a Python API and an HTTP server.
Jev Demos & Experiments#community#jevbest#catalog-import
1GitHub stars
A Python search command for terminals and agents: Parallel Search seeds queries, a local Chromium fetches pages concurrently, and Jev scores the evidence to expand a breadth-first link queue. Ships readable output, JSON and an MCP server.
Jev Demos & Experiments#community#jevbest#catalog-import
0GitHub stars
A Python pipeline that captures the PCSX2 window, injects virtual DualShock 2 input and draws a broadcast-style telemetry HUD, with TypeSafe Jev System One as one of three swappable decision engines behind a BaseAgent interface.
Jev Demos & Experiments#community#jevbest#catalog-import
Open 150M encoder that reproduces the typed noul, choice, and score interface in one forward pass, trainable on a free GPU and runnable locally for nothing.
Jev Demos & Experiments#community#jevbest#catalog-import
941GitHub stars
Library that adds schema-guaranteed typed outputs to existing autoregressive LLMs without changing weights, served through SGLang or a hosted API.
Jev Demos & Experiments#community#jevbest#catalog-import

From the Jev guides

Original write-ups on what this entry is for.

A game tick is a state plus a legal action list. How Clash Royale, Minecraft, and the earlier Mario, Pokémon, StarCraft, and drone loops ask Jev one step at a time.
Jev Demos & Experiments#gaming#agents#control
Read article
Back to all resources

From the Jev community

Posts from builders shipping with Jev right now.

Follow @typesafeai