AI语音通话与线索管理MCP服务器

Suarify MCP Server

This is a Model Context Protocol (MCP) server for Suarify, providing tools for AI agents to interact with Suarify's voice calling and lead management platform.

Connect directly into chatgpt, gemini, claude, cursor without setup?

• Suarify MCP Connect

Suarify is an AI voice automation platform for building and routing SIP-integrated conversational agents via programmable endpoints which allows platform to configure AI inbound and outbound calls.

Features

• Voice Calls: Initiate outbound calls and configure inbound settings.
• Lead Management: CRUD operations for leads and bulk uploads.
• Agent Configuration: Manage AI voice agents and phone configurations.
• Modern MCP Design: Returns structuredContent for LLM efficiency and uses standardized naming.

Prerequisites

• Node.js 20+
• Suarify API Key

Configuration

Set the following environment variables:

• SUARIFY_API_KEY: (Required) Your API key for authentication. Register free account credit at https://suarify.my/register-new-user and then developer portal
• SUARIFY_BASE_URL: (Optional) Defaults to https://suarify1.my.

Setup in AI Clients

Common mcp (cursor, codex, claudecode ,etc)

Add the following to your ~/.mcp/config.json or equivalent IDE( antigravity, cursor, codex, claudecode ,etc) or terminal cli

Claude Desktop

Add the following to your claude_desktop_config.json (usually located in %APPDATA%\Claude\claude_desktop_config.json on Windows or ~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

export SUARIFY_BASE_URL="https://suarify1.my"
export SUARIFY_API_KEY="sk_suarify_xxxxx_c2U5vTQ2MEfaMm8Iwa8gwN0l"

$env:SUARIFY_BASE_URL = "https://suarify1.my"
$env:SUARIFY_API_KEY = "sk_suarify_xxxxx_c2U5vTQ2MEfaMm8Iwa8gwN0l"

{
  "mcpServers": {
    "suarify": {
      "command": "npx",
      "args": ["-y", "suarify-mcp-server"],
      "env": { 
        
        "SUARIFY_BASE_URL": "https://suarify1.my",
        "SUARIFY_API_KEY": "sk_suarify_xxxxx_c2U5vTQ2MEfaMm8Iwa8gwN0l"
      }
    }
  }
}

or

{
  "mcpServers": {
   "suarify-local": {
      "command": "node",
      "args": [
        "c:/Users/Acer/OneDrive/Documents/GitHub/suarify-mcp/index.js"
      ],
      "env": {
        "SUARIFY_BASE_URL": "https://suarify1.my",
        "SUARIFY_API_KEY": "sk_suarify_xxxxx_c2U5vTQ2MEfaMm8Iwa8gwN0l"
      }
    },
  }
}
  

Cursor

1. Go to Settings -> Features -> MCP.
2. Click + Add New MCP Server.
3. Name: Suarify.
4. Type: command.
5. Command: npx -y suarify-mcp-server.
6. Add environment variable SUARIFY_API_KEY with your key.

Usage

Local Development

1. Install dependencies:
   复制

   npm install
   

2. Run tests:
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   npm test
   

3. Start the server (stdio transport):
   复制

   export SUARIFY_API_KEY=your_key_here
   node index.js
   

Running with Docker

1. Build the image:

   复制

   docker build -t suarify-mcp .
   

2. Run the container:

   复制

   docker run -e SUARIFY_API_KEY=your_key_here suarify-mcp
   

3. Run the container as mcp server:

   复制

{ "mcpServers": { "suarify-mcp": { "command": "docker", "args": [ "run", "-i", "--rm", "-e", "SUARIFY_API_KEY=your_key_here", "suarify-mcp" ] } } }

## Tools Overview

All tools are prefixed with `suarify_` and use `snake_case`.

| Tool Name | Description |
|-----------|-------------|
| `suarify_initiate_call` | Start a simple voice call. |
| `suarify_do_outbound_call` | Detailed outbound call with validation. |
| `suarify_setup_inbound_settings` | Configure AI behavior for inbound calls. |
| `suarify_list_leads` / `suarify_create_lead` | Manage your lead database. |
| `suarify_list_user_agents` | Retrieve AI voice agents. |
| `suarify_get_outbound_call_logs` | Fetch historical call data. |

## Development

The project uses Jest for unit testing. Tool logic is extracted into a `handlers` object for easy isolation.

```bash
npm test