Generect MCP
G

Generect MCP

The Generect Live API MCP Server provides B2B lead generation and company search tools, supports remote and local deployment, and allows access to various enterprise data services through an API key.
2 points
6.4K

What is the Generect Live API MCP Server?

The Generect Live API MCP Server is a server based on the Model Context Protocol (MCP), specifically designed to provide B2B sales lead discovery for AI assistants (such as Claude). It allows you to search for potential customers, find company information, generate email addresses, etc. through natural language instructions without manually operating complex sales tools.

How to use the Generect Live API MCP Server?

You can use it in two ways: 1) Use our hosted remote server (recommended), just add the API key to the MCP client configuration; 2) Install and run it locally. After configuration, you can directly ask the AI assistant questions like 'Find me some CTOs of SaaS companies in San Francisco'.

Use Cases

Scenarios where sales teams look for potential customers, market research and analysis, recruiters look for candidates, entrepreneurs look for partners, investors look for investment opportunities, etc., which require access to professional information of companies and individuals.

Main Features

Intelligent Lead Search
Search for potential customers based on multi - dimensional conditions such as industry, position, and geographical location, and support timeout settings to ensure query efficiency.
Company Information Query
Search for company information according to the Ideal Customer Profile (ICP) screening conditions to help enterprises quickly locate the target customer group.
Email Address Generation
Intelligently generate possible email addresses based on the name and company domain name to improve the success rate of contact.
LinkedIn Profile Extraction
Obtain detailed professional information and contact information through the LinkedIn profile URL.
Service Health Check
Quickly check the status of the API service to ensure the normal operation of the service.
Advantages
No need to install complex software, can be used through an AI assistant
Supports multiple deployment methods (remote/local/Docker)
Seamlessly integrates with mainstream MCP clients (such as Claude Desktop)
Provides detailed configuration examples and troubleshooting guides
API responses support timeout settings to avoid long - time waiting
Limitations
Requires a Generect API key (need to register to obtain)
Local installation requires a Node.js environment
Some advanced features may require a paid API package
Data accuracy depends on the update frequency of the Generect database

How to Use

Get an API Key
Visit beta.generect.com to register an account and get your API key.
Choose a Deployment Method
It is recommended to use the remote MCP server (the simplest), or choose local installation according to your needs.
Configure the MCP Client
Add the server configuration to Claude Desktop or other MCP clients and fill in your API key.
Start Using
After configuration, restart your AI assistant and you can start using Generect's features.

Usage Examples

Sales Teams Looking for Potential Customers
A sales manager needs to find target customers for a new product and uses Generect to quickly screen eligible corporate decision - makers.
Recruiters Looking for Candidates
A recruitment specialist needs to find senior engineers for a technology company and filters suitable candidates by industry and skills.
Market Research and Analysis
A market analyst needs to understand the competitive landscape of a vertical field and collect basic information of relevant companies.

Frequently Asked Questions

Do I need to pay to use it?
Which MCP clients are supported?
What is the data update frequency?
What should I do if I encounter the 'npx ENOENT' error on macOS?
How to check if the service is working properly?
Does it support batch queries?

Related Resources

Generect Official Website
Register an account and get an API key
MCP Protocol Documentation
Understand the technical specifications of the Model Context Protocol
Claude Desktop Configuration Guide
How to configure the MCP server for Claude Desktop
GitHub Repository
Source code and issue feedback
Docker Image
Official Docker container image

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "generect": {
      "command": "mcp-remote",
      "args": [
        "https://mcp.generect.com/mcp",
        "--header",
        "Authorization: Bearer Token YOUR_API_KEY"
      ]
    }
  }
}

{
  "mcpServers": {
    "generect-liveapi": {
      "command": "node",
      "args": ["./node_modules/tsx/dist/cli.mjs", "src/server.ts"],
      "env": {
        "GENERECT_API_BASE": "https://api.generect.com",
        "GENERECT_API_KEY": "Token YOUR_API_KEY",
        "GENERECT_TIMEOUT_MS": "60000"
      }
    }
  }
}

{
  "mcpServers": {
    "generect-api": {
      "command": "npx",
      "args": ["-y", "generect-ultimate-mcp@latest"],
      "env": {
        "GENERECT_API_BASE": "https://api.generect.com",
        "GENERECT_API_KEY": "Token YOUR_API_KEY",
        "GENERECT_TIMEOUT_MS": "60000",
        "MCP_DEBUG": "0"
      }
    }
  }
}

{
  "mcpServers": {
    "generect-remote": {
      "command": "ssh",
      "args": [
        "user@remote-host",
        "-T",
        "node",
        "/opt/generect_mcp/dist/server.js"
      ],
      "env": {
        "GENERECT_API_BASE": "https://api.generect.com",
        "GENERECT_API_KEY": "Token YOUR_API_KEY",
        "GENERECT_TIMEOUT_MS": "60000"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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