MCP server

CaptureOneAI Web Perception Official

com.captureoneai/web-perception

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Working at last checkVerified publisher: captureoneai.comAbout 963 tokens per request once connected6 tools

https://captureoneai.com/mcp

At a glance

Type: MCP server
Publisher: captureoneai.com (verified by the MCP Registry)
Status: Working at last check
Tools: 6
Token cost: About 963 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http web-perception https://captureoneai.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.web-perception]
url = "https://captureoneai.com/mcp"

Gemini CLI

{"mcpServers":{"web-perception":{"httpUrl":"https://captureoneai.com/mcp"}}}

Cursor

{"mcpServers":{"web-perception":{"url":"https://captureoneai.com/mcp"}}}

VS Code

{"servers":{"web-perception":{"type":"http","url":"https://captureoneai.com/mcp"}}}

Antigravity

agy mcp add web-perception https://captureoneai.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"web-perception","server_url":"https://captureoneai.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"web-perception","server_url":"https://captureoneai.com/mcp"}

capture_context ~199 tokens
Returns 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.
check_monitor ~122 tokens
Triggers an immediate check for a monitor instead of waiting for its next scheduled run, and returns any detected changes.
create_semantic_monitor ~260 tokens
Watches 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.
find_elements ~191 tokens
Returns 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.
get_monitor_changes ~133 tokens
Returns the recent check history for a monitor, including detected changes with their relevance and explanation.
list_monitors ~58 tokens
Lists your active monitors and their IDs, URLs and schedules.

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