MCP MeasureMCP Measure

index observed

gethal.ai

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

Should I use this

Quality & Safety

B
Description quality
90%
Schema completeness
49%
Naming quality
94%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (1)

  • LOWTool 'get_use_cases' description lacks action verbin get_use_cases

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~503Tokens (tool definitions)
~340 BTypical response size
Minimal attention impact (0.39% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "mcp": {
      "url": "https://gethal.ai/mcp"
    }
  }
}

Remote endpoints

https://gethal.ai/mcpstreamable-http

What it can do

Tool inventory

Tools (7)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢get_company_info

Returns the company name, operator, contact email, homepage, and a short description of gethal.ai.

Input Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢get_pricing(billing)

Returns the gethal.ai pricing plans (Solo, Team, Enterprise) with both monthly and yearly rates plus included features.

Input Schema

{
  "type": "object",
  "properties": {
    "billing": {
      "type": "string",
      "enum": [
        "monthly",
        "yearly",
        "both"
      ],
      "description": "Which billing cadence to return. Defaults to \"both\"."
    }
  },
  "additionalProperties": false
}
🟢get_features

Returns the six core features of gethal.ai with one-line descriptions.

Input Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢get_use_cases

Returns representative B2B sales use cases (outbound prospecting, market expansion, partner-channel sales) with example prompts.

Input Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢describe_hal

Explains how the HAL autonomous sales agent works: the six-stage pipeline (find → research → qualify → quality control → draft → send) and key traits.

Input Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢get_customer_profile

Returns the target customer profile for gethal.ai (industries, team sizes, regions, representative use cases) and any public reference customers.

Input Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
⚪book_demo(name, email, company)

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.

Input Schema

{
  "type": "object",
  "properties": {
    "name": {
      "type": "string",
      "description": "Full name of the prospect."
    },
    "email": {
      "type": "string",
      "description": "Work email address."
    },
    "company": {
      "type": "string",
      "description": "Company name (optional)."
    }
  },
  "required": [
    "name",
    "email"
  ],
  "additionalProperties": false
}

Recommended Prompts

retrieve_data
Get details about [item] from gethal.ai
Expected tools: get_company_info
fetch_info
Fetch [information type] using gethal.ai
Expected tools: get_company_info

Community

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Evidence

Recent observations

verifiedversion not recorded7 tools
verifiedversion not recorded7 tools