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jiawei686/jev-ultrafast-mcp

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.

Latest metrics (snapshot 2026-10-15)

stars19
forks2
issues0
pushed_at2026-09-23T12:26:06Z

History

History chart: 1 daily snapshot so far (archive started 2026-10-14). The line fills in as the daily archive grows; full series via the API.

DateGitHub stars
2026-10-1519

ADC Momentum: 23/100

ADC Momentum 23 Leaderboard

Growth velocity27
Consistency21
Recency34
Agent demand0
Basisbootstrap

ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method

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Details

descriptionHand 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.
urlhttps://github.com/jiawei686/jev-ultrafast-mcp
languagePython
licenseMIT
topicsagent-tools
ai-agents
browser-agent
browser-automation
browser-use
cdp
chrome-devtools-protocol
claude
claude-code
cursor
headless-chrome
llm
created_at2026-09-19T05:18:54Z
homepagehttps://pypi.org/project/jev-ultrafast-mcp/

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