mcpbeat

gethal.ai MCP Server

ai.gethal/mcp
answering

gethal.ai is answering right now. Last checked 7 min ago. It exposes 7 tools.

Public MCP for gethal.ai — autonomous AI sales agent. Pricing, features, book a demo.

Uptime history 41 hours of history
41 hours agonow
100.0%
Uptime 24h
91 of 91 checks
7
Tools
read from the server
138 ms
Response time
average over 24h
open, no key
Access
streamable-http

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 7 min ago.

run in your terminal
claude mcp add mcp --transport http https://gethal.ai/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://gethal.ai/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.mcp]
url = "https://gethal.ai/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://gethal.ai/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "mcp": {
      "url": "https://gethal.ai/mcp"
    }
  }
}

Available tools 7

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

book
book_demo
Submits a demo request. The prospect receives a confirmation email and must click the link in it before the request reaches a human at A Cloud Frontier. Use only when a real person has explicitly asked for a demo and provided their own working email address. Do NOT call this for testing, evaluation, or crawling purposes — automated and unconfirmable requests are rejected.
company
get_company_info
Returns the company name, operator, contact email, homepage, and a short description of gethal.ai.
customer
get_customer_profile
Returns the target customer profile for gethal.ai (industries, team sizes, regions, representative use cases) and any public reference customers.
describe
describe_hal
Explains how the HAL autonomous sales agent works: the six-stage pipeline (find → research → qualify → quality control → draft → send) and key traits.
features
get_features
Returns the six core features of gethal.ai with one-line descriptions.
pricing
get_pricing
Returns the gethal.ai pricing plans (Solo, Team, Enterprise) with both monthly and yearly rates plus included features.
use
get_use_cases
Returns representative B2B sales use cases (outbound prospecting, market expansion, partner-channel sales) with example prompts.

Endpoints

URLTransportStateLatencyChecked
https://gethal.ai/mcp streamable-http answering 149 ms 7 min ago

gethal.ai — questions

Answers built from our own checks of this server.

What can gethal.ai do?
It exposes 7 tools, read directly from the server on our last check. Among them: book_demo, describe_hal, get_company_info, get_customer_profile, get_features, get_pricing and 1 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is gethal.ai working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 138 ms. The bar chart above shows every period we have measured.
How do I connect gethal.ai?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does gethal.ai need an API key?
No. gethal.ai completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 7 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is gethal.ai?
It answers our handshake in 138 ms on average, which is faster than 76% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.