What you can do
Contact management on autopilot
Fetch, update, or create contacts via AI prompts. Tag and segment contacts for targeted campaigns through a chat interface.“Show me all contacts added last week and tag them as ‘New Lead’.”
Conversational AI that texts for you
Send messages to any conversation using your AI agent. Search conversations by keywords, status, or participant.“Find all unread messages and send a follow-up: ‘Hey! Just checking in.’”
Multi-step workflow automation
Chain multiple actions into true business workflows.“On new contact creation, tag them, send a welcome message, and add to a pipeline.”
Payment and transaction intelligence
Fetch order details and transaction history on demand. Build AI-powered dashboards for payment analysis.“Show me the last 10 transactions over $100 and flag any with a refund request.”
36 available tools
The MCP server exposes tools across 8 modules:
See Platform MCP Server for the full tool reference with endpoint names and descriptions.
How it connects
https://services.leadconnectorhq.com/mcp/
Transport: HTTP Streamable
Auth: Private Integration Token (PIT) as Bearer header
The locationId can be passed as a header in your config or mentioned naturally in your prompts — the server supports both patterns.
Quick setup
1
Get a Private Integration Token
Go to Settings → Integrations → Private Integrations in your HoopAI account. Create a new integration and select the scopes for the tools you need.
2
Configure your client
Add the MCP server URL and your token to your agent or MCP client config. See the Quickstart for step-by-step instructions.
3
Start making requests
Send natural language requests to your agent. It will call the right MCP tools automatically.
Build guides
Quickstart
Configure the MCP server with n8n, LangGraph, or any HTTP-compatible client
Tool reference
Full list of 36 tools, endpoint names, and required scopes
Build an agent
LangGraph and multi-agent patterns for HoopAI automation
n8n integration
Connect HoopAI MCP to n8n workflows