MCP server

DABYTE AI Visibility Index Official

ai.dabyte/visibility-index

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

Measured share of answer for 20 SaaS brands. An open dataset, not an audit of your site.

Website Source

At a glance

Type

MCP server

Publisher

dabyte.ai (verified by the MCP Registry)

Status

Working at last check

Tools

5

Token cost

About 1,659 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

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

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 visibility-index https://dabyte.ai/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.visibility-index]
url = "https://dabyte.ai/mcp"

Gemini CLI

{"mcpServers":{"visibility-index":{"httpUrl":"https://dabyte.ai/mcp"}}}

Cursor

{"mcpServers":{"visibility-index":{"url":"https://dabyte.ai/mcp"}}}

VS Code

{"servers":{"visibility-index":{"type":"http","url":"https://dabyte.ai/mcp"}}}

Antigravity

agy mcp add visibility-index https://dabyte.ai/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":"visibility-index","server_url":"https://dabyte.ai/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"visibility-index","server_url":"https://dabyte.ai/mcp"}

Tools

• get_brand_visibility ~338 tokens
  One 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 — call list_tracked_brands first if you are unsure, or read the slug from get_vis
• get_history ~367 tokens
  Every 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, when did it enter the index, how volatile is the category. Two limits decide whethe
• get_methodology ~347 tokens
  The 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 editorial firewall and ownership disclosure. Call this before quoting a number
• get_visibility_index ~343 tokens
  The 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 category buyer prompts in which an engine names the brand. Use this when the que
• list_tracked_brands ~264 tokens
  The 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 brand is tracked at all. Do NOT use it when you want figures — get_visibility_in

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