INDIVIDUAL MCP TOOL

get_pillar

Get one above below GTM pillar in detail by slug or name, including its summary and deliverables.

abovebelow.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://abovebelow.com/mcp

No auth detected

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

{}

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.

CONNECT WITH APPROVAL

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

Codex

~/.codex/config.toml

[mcp_servers.above-below-website]
url = "https://abovebelow.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "above-below-website": {
      "type": "http",
      "url": "https://abovebelow.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: above-below-website
Remote MCP URL: https://abovebelow.com/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": {
    "above-below-website": {
      "url": "https://abovebelow.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "above-below-website": {
      "type": "http",
      "url": "https://abovebelow.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "above-below-website",
  "transport": "streamable-http",
  "url": "https://abovebelow.com/mcp"
}

MCP Inspector

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

get_site_overview — Get the public overview of above below: name, tagline, description, contact email, and the four GTM pillars.
list_pillars — List the four above below go-to-market pillars (Be Found, Be Understood, Be First, Be Chosen) with their summaries and deliverables.
run_clarity_pulse — Score a brand against the seven signals that decide whether AI answer engines can find and cite it.
check_ai_visibility — Fetch a public website and report which machine-readability signals are present: structured data, an llms.txt index, canonical and description metadata, named authors, and an MCP endpoint.