DABYTE AI Visibility Index
by dabyte.ai · ai.dabyte/visibility-index
Measured share of answer for 20 SaaS brands. An open dataset, not an audit of your site.
- Category
- Analytics and data
- Connection
- Remote (HTTP)
- Tools
- 5 reported
- Status
- Online
Connect it to your AI
Claude Code
claude mcp add --transport http visibility-index https://dabyte.ai/mcpClaude, ChatGPT, Cursor and other apps
Add it as a custom connector with this URL (Streamable HTTP):
https://dabyte.ai/mcpCursor, VS Code and other apps (mcp.json)
{
"mcpServers": {
"visibility-index": {
"url": "https://dabyte.ai/mcp"
}
}
}Tools it offers
5 tools, as the server itself reported during our check on Oct 31, 2026.
get_visibility_indexThe whole current release in one call: every tracked brand in SaaS & AI tools with its rank, share of answer overall and per engine, commercial intent and quadrant. Share of answer is the percentage of a fixed panel of cget_brand_visibilityOne brand's standing in the current DABYTE release: share of answer per engine, rank, quadrant, how many panel prompts name it, and which ones. Use this when a specific brand is named. Takes a slug, not a display name —list_tracked_brandsThe names and slugs of every brand in the DABYTE index — a lookup table, nothing else. No scores, no ranks. Use it for two things: to turn a brand name into the slug get_brand_visibility needs, and to answer whether a brget_historyEvery DABYTE release ever published, as a series per brand: share of answer at each weekly measurement with the date and panel version it was taken under. Use this for any question about change — is a brand rising, whenget_methodologyThe rules behind every figure this server returns: the exact prompt panel and its version, which engines were measured, how share of answer is scored and rounded, the resolution of the scale in percentage points, and the
Questions
What is the DABYTE AI Visibility Index MCP server?
Measured share of answer for 20 SaaS brands. An open dataset, not an audit of your site. It is made by dabyte.ai and listed in the official MCP Registry as ai.dabyte/visibility-index. MCP (Model Context Protocol) is the open standard that lets AI apps like Claude, ChatGPT and Cursor use outside tools.
How do I add DABYTE AI Visibility Index to Claude?
In the Claude app or claude.ai, open Settings, then Connectors, choose "Add custom connector" and paste https://dabyte.ai/mcp. In Claude Code, run: claude mcp add --transport http visibility-index https://dabyte.ai/mcp
How do I add DABYTE AI Visibility Index to ChatGPT?
ChatGPT can use remote MCP servers as connectors. In ChatGPT settings, under Apps and Connectors, turn on developer mode if asked, create a new connector and paste https://dabyte.ai/mcp.
How do I add DABYTE AI Visibility Index to Cursor?
Open Cursor settings, go to MCP, choose "Add new MCP server" (or edit ~/.cursor/mcp.json) and add: { "mcpServers": { "visibility-index": { "url": "https://dabyte.ai/mcp" } } }
Does DABYTE AI Visibility Index work right now?
Yes. It responded when we last checked on 31 Oct 2026. We check remote MCP servers every day.
What can DABYTE AI Visibility Index do?
It gives your AI 5 tools, including get_visibility_index, get_brand_visibility, list_tracked_brands, get_history, get_methodology. The full list is on this page.
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Markdown (GitHub README)
[](https://chen.media/mcp/ai-dabyte-visibility-index)HTML (switches to dark mode on its own)
<a href="https://chen.media/mcp/ai-dabyte-visibility-index"><picture><source media="(prefers-color-scheme: dark)" srcset="https://chen.media/mcp/badge/ai-dabyte-visibility-index.svg?theme=dark"><img src="https://chen.media/mcp/badge/ai-dabyte-visibility-index.svg" alt="Listed on chen.media/mcp" height="40"></picture></a>More in Analytics and data
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