jev-ultrafast-mcp
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AlicenseAqualityBmaintenanceEnables an agent to run whole browser tasks on live web pages from a plain-language goal — opening tabs, clicking, typing, scrolling, and returning the relevant page sections as markdown — with every step reported alongside its confidence. Tabs can be reused and closed across calls, so multi-step flows continue on the page the previous task ended on.25MIT
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AlicenseAqualityBmaintenanceEnables AI assistants to run complete website tasks in a real browser, returning every step, the final markdown content, and persistent tabs for follow-up calls or concurrent tasks.2MIT- AlicenseAqualityAmaintenanceEnables browser automation for coding agents via MCP, allowing them to open pages, search, extract data, click, type, and complete multi-step tasks with fast single-round-trip decisions.144MIT
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TDQS
Scored across 10 tools
Each tool has a clear primary purpose, but there is some overlap: browser_act includes tab operations that browser_tabs also handles, and browser_close overlaps with tab-closing in browser_tabs and browser_act. The descriptions mostly disambiguate these contexts well, though an agent might occasionally hesitate between them.
All tools share a consistent browser_ prefix in snake_case, which makes the family obvious and predictable. The second part mixes action verbs (open, observe, act, assert, close) with nouns (macro, tabs, sessions, doctor), so it is not a strict verb_noun pattern but remains readable and mostly consistent.
Ten tools is well-scoped for a browser automation server. Each tool occupies a meaningful role: navigation, observation, interaction, verification, tab/session management, recording, autonomous task handling, and diagnostics. None feel redundant or missing.
The tool surface covers the full browser workflow: open, observe, act, assert, manage tabs and sessions, close, record/replay macros, delegate to a decision model, and diagnose environment issues. There are no obvious dead ends or missing operations for the stated domain.