
CaptureOneAI MCP server
Which servers in the official MCP registry are CaptureOneAI's own, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.
read 2026-10-24
- Registry namecom.captureoneai/web-perceptionverified in the MCP registry
The registry name sits under captureoneai.com. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.
- Stateanswerschecked 2026-10-24
- Tools6
- Server calls itselfcaptureoneai
- Server version1.0.0
- Protocol version2025-06-18
On 2026-10-24 the server answered initialize and tools/list without a sign-in. First answer in 170 ms.
- Whether its tools do the product's job has not been judged yet.
- Checked on 1 of the 7 days it takes to judge reliability.
Once connected
- create_semantic_monitor change data without a sign-in: anyone with the address can call them.
- Parameters are untyped or undescribed in 4 of 6 tools: check arguments before calling.
Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.
- INITE MCP scoreafter a weeka score needs 7 daily checks: 1 so far
- Answeredmeasuring1 of the 7 daily checks it takes to print a share
- Median first answer229 ms
- Space in an agent's context≈ 842 tokensthe definitions of all its tools (6), which an agent carries on every turn
- Tool definitionsC · 72 of 100
- Typed results0 of 6 toolsdeclared outputSchema: results come typed, read once
- Parameters without a description: in 4 of 6
- Not saying whether it only reads or can destroy: 6 of 6
Worth a look
- Tools that change data, on a server that answers without a sign-in: create_semantic_monitor
A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (30%), doing the product's job (25%), definitions (20%), context (10%) and use (15%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →
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.
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…
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…
list_monitorsLists your active monitors and their IDs, URLs and schedules.
check_monitorTriggers an immediate check for a monitor instead of waiting for its next scheduled run, and returns any detected changes.
get_monitor_changesReturns the recent check history for a monitor, including detected changes with their relevance and explanation.
How to connect
Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:
{
"mcpServers": {
"web-perception": {
"type": "http",
"url": "https://captureoneai.com/mcp"
}
}
}Add it
Claude Code, in a terminal
claude mcp add --transport http captureoneai https://captureoneai.com/mcpclaude.ai, ChatGPT and other clients: add https://captureoneai.com/mcp as a custom connector in the settings.
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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