ZeroBounce MCP Server

ZeroBounce MCP Server

A Model Context Protocol server that allows interaction with the ZeroBounce email validation service, enabling users to validate individual emails, check account credits, and perform bulk validations.

Category
Visit Server

README

ZeroBounce MCP Server

This is a Model Context Protocol (MCP) server for interacting with the ZeroBounce email validation service. It uses the official ZeroBounce Python API v2 library.

Features

  • Validate individual email addresses
  • Check your remaining API credits
  • Upload files for bulk validation
  • Check file status, retrieve, and delete bulk validation files
  • Search for email patterns used by a domain

Setup

System Requirements

  • Python 3.10+
  • API key from ZeroBounce

Installation

  1. Clone this repository:
git clone https://github.com/avivshafir/zerobounce-mcp-server
cd zerobounce-mcp-server
  1. Install the required dependencies:
pip install -r requirements.txt
  1. Set up your environment variables:

    Option 1: Using a .env file (recommended)

    Create a .env file with your ZeroBounce API key:

    ZEROBOUNCE_API_KEY=your_zerobounce_api_key
    

    Option 2: Setting environment variables directly

    export ZEROBOUNCE_API_KEY="your_zerobounce_api_key"
    

You can get your API key from your ZeroBounce account dashboard.

Add the following configuration to the mcp.json file, replacing the directory path with the actual path to where you've installed this server:

{
  "mcpServers": {
    "zerobounce": {
      "command": "python",
      "args": ["/path/to/your/zerobounce-mcp-server/main.py"]
    }
  }
}
  1. Restart Cursor to apply the changes

Now you can use the ZeroBounce MCP server directly within Cursor's AI assistant.

Available Tools

The server provides the following tools:

  1. validate_email: Validate a single email address

    validate_email(email: str, ip_address: str = "") -> dict
    
  2. get_credits: Check remaining credits in your ZeroBounce account

    get_credits() -> dict
    
  3. upload_file: Upload a file for bulk validation

    upload_file(file_path: str, email_column: int, ...) -> dict
    
  4. check_file_status: Check the status of a bulk validation file

    check_file_status(file_id: str) -> dict
    
  5. get_file: Get the results of a bulk validation

    get_file(file_id: str) -> dict
    
  6. delete_file: Delete a bulk validation file

    delete_file(file_id: str) -> dict
    
  7. domain_search: Search for email patterns used by a domain

    domain_search(domain: str) -> dict
    

Dependencies

  • zerobounce-python-api-v2: The official ZeroBounce API library
  • python-dotenv: For loading environment variables from .env file
  • mcp: The Model Context Protocol library
  • asyncio: For asynchronous operations

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured