INDIVIDUAL MCP TOOL

book_demo

Submits a demo request.

gethal.ainone authenticationAvailability not checked

LIVE ENDPOINT

https://gethal.ai/mcp

No auth detected

Connect to this endpoint to inspect the live schema for book_demo 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.gethal-ai]
url = "https://gethal.ai/mcp"
enabled = true

Claude Code

.mcp.json

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

Claude Desktop

Settings → Connectors → Add custom connector

Name: gethal-ai
Remote MCP URL: https://gethal.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": {
    "gethal-ai": {
      "url": "https://gethal.ai/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

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

Generic MCP

Client-specific MCP configuration

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

MCP Inspector

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

get_company_info — Returns the company name, operator, contact email, homepage, and a short description of gethal.ai.
get_pricing — Returns the gethal.ai pricing plans (Solo, Team, Enterprise) with both monthly and yearly rates plus included features.
get_features — Returns the six core features of gethal.ai with one-line descriptions.
get_use_cases — Returns representative B2B sales use cases (outbound prospecting, market expansion, partner-channel sales) with example prompts.
describe_hal — Explains how the HAL autonomous sales agent works: the six-stage pipeline (find → research → qualify → quality control → draft → send) and key traits.
get_customer_profile — Returns the target customer profile for gethal.ai (industries, team sizes, regions, representative use cases) and any public reference customers.