com.captureoneai/web-perception

CaptureOneAI Web Perception

Give agents eyes on any web page: structured context, and changes explained in plain language.

Endpointhttps://captureoneai.com/mcp (streamable-http)
Registry version1.0.0
Now6 tools · grade A (97) · pin ts_511d5a0fcc4cf0be54ccf96954ccdb89 · protocol 2025-06-18
First / last listed2026-11-08 01:56 UTC / 2026-11-08 01:56 UTC
Grade over time2026-11-08: A (97), 6 tools

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Timeline

First listing · 2026-11-08 01:56 UTC
6 tools, grade A (97)

Tools: capture_context find_elements create_semantic_monitor list_monitors check_monitor get_monitor_changes

Current tools (6)

capture_contextReturns the structured representation of a web page: visible text with coordinates, interactive elements, forms and tables. Use this to let an agent read and understand a page without parsing raw HTML.
params: url*, width, height, dismissCookies
find_elementsReturns only the interactive elements of a page (buttons, links, inputs) with role, label, CSS selector and pixel coordinates. Use this before acting on a page (computer-use / Set-of-Marks style grounding) instead of capture_context when you only need to know what can be clicked and where.
params: url*, width, height, dismissCookies
create_semantic_monitorWatches a URL on a schedule and reports what changed and whether it matters, explained by AI — not just a pixel-diff percentage. Use this for competitor pricing pages, changelogs, status pages, or any page whose changes should trigger a workflow.
params: url*, label, schedule, intent, callbackUrl
list_monitorsLists your active monitors and their IDs, URLs and schedules.
params: none
check_monitorTriggers an immediate check for a monitor instead of waiting for its next scheduled run, and returns any detected changes.
params: monitorId*
get_monitor_changesReturns the recent check history for a monitor, including detected changes with their relevance and explanation.
params: monitorId*, limit

Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.