INDIVIDUAL MCP TOOL
list_tracked_brands
The names and slugs of every brand in the DABLOCK index — a lookup table, nothing else.
LIVE ENDPOINT
https://dablock.ai/mcp
Connect to this endpoint to inspect the live schema for list_tracked_brands 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
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.dablock-ai-visibility]
url = "https://dablock.ai/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"dablock-ai-visibility": {
"type": "http",
"url": "https://dablock.ai/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: dablock-ai-visibility
Remote MCP URL: https://dablock.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": {
"dablock-ai-visibility": {
"url": "https://dablock.ai/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"dablock-ai-visibility": {
"type": "http",
"url": "https://dablock.ai/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "dablock-ai-visibility",
"transport": "streamable-http",
"url": "https://dablock.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 crypto/Web3 with its rank, share of answer overall and per engine, commercial intent and quadrant.get_brand_visibility— One brand's standing in the current DABLOCK release: share of answer per engine, rank, quadrant, how many panel prompts name it, and which ones.get_history— Every DABLOCK 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.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.