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.
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 botβs 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
Basic information
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