HelloGrowth CRM MCP

@MeruLocal

About HelloGrowth CRM MCP

HelloGrowth CRM MCP is an AI-powered CRM integration platform that enables secure AI access to CRM data, lead and customer management, deal tracking, task automation, and business workflow orchestration through a standardized MCP interface.

#crm #ai #leads #deals #automation #customer-management

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "hellogrowthcrm": {
      "url": "https://mcp.hellogrowthcrm.com/sse"
    }
  }
}

Tools

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Overview

What is HelloGrowth CRM MCP?

It is a Model Context Protocol (MCP) server that discovers, identifies, and governs bots interacting with a website. It also exposes the entire HelloGrowth CRM website as MCP tools, allowing any MCP-capable client (e.g., Claude Desktop, Cursor) to query bot traffic and access website content.

How to use HelloGrowth CRM MCP?

Clone the repository, copy .env.example to .env, run npm install && npm run build, then start with node dist/index.js (or npm run dev for development). The server communicates over stdio; configure it as an MCP server in your client using the path to dist/index.js and environment variables such as DEFAULT_TARGET_URL.

Key features of HelloGrowth CRM MCP

Eight bot governance tools for full lifecycle management
55+ known bot signatures with risk scoring
Behavioural risk scoring from 0 to 100
PTR + forward DNS identity verification
robots.txt and sitemap.xml parser with proper semantics
73 additional website data tools (blog, pricing, features, etc.)

Use cases of HelloGrowth CRM MCP

Scan your live site for all bots and their risk levels
Analyze access logs to get per-bot summaries with risk scores
Generate a policy-driven robots.txt file that blocks AI crawlers
Look up a specific bot’s identity using IP and User-Agent
Query HelloGrowth CRM website content (blog, help, pricing) via natural language

FAQ from HelloGrowth CRM MCP

How does bot detection work?

It uses User-Agent matching against a curated database, plus generic heuristics for unknown bots, and behavioural enrichment from access logs.

What are the runtime requirements?

Node.js, npm, and TypeScript. The server runs as a stdio process; no database or external service is required for bot governance

Frequently asked questions

How does bot detection work?

It uses User-Agent matching against a curated database, plus generic heuristics for unknown bots, and behavioural enrichment from access logs.

What are the runtime requirements?

Node.js, npm, and TypeScript. The server runs as a stdio process; no database or external service is required for bot governance

Comments

Basic information

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