INDIVIDUAL MCP TOOL

get_methodology

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.

dabyte.ainone authenticationAvailability not checked

LIVE ENDPOINT

https://dabyte.ai/mcp

No auth detected

Connect to this endpoint to inspect the live schema for get_methodology and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

dabyte.ai

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

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

Claude Code

.mcp.json

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

Claude Desktop

Settings → Connectors → Add custom connector

Name: dabyte-ai-visibility
Remote MCP URL: https://dabyte.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

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

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

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

Generic MCP

Client-specific MCP configuration

{
  "name": "dabyte-ai-visibility",
  "transport": "streamable-http",
  "url": "https://dabyte.ai/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

get_visibility_index — 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.
get_brand_visibility — 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.
list_tracked_brands — The names and slugs of every brand in the DABYTE index — a lookup table, nothing else.
get_history — 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.