MCP Email Verify
MCP Email Verify is a lightweight server based on the Model Context Protocol (MCP) for real-time verification of email address validity. It checks email format, domain name validity, and deliverability through AbstractAPI and is suitable for integration into AI applications such as Claude Desktop. The project offers simple deployment and MCP compatibility, supporting Python environments.
rating : 2.5 points
downloads : 18
What is MCP Email Verify?
MCP Email Verify is a tool based on the Model Context Protocol (MCP), designed to verify the validity and deliverability of email addresses by integrating AbstractAPI's Email Verification Service. It helps developers easily add email verification functionality to their applications.How to use MCP Email Verify?
You can set up and start using this tool in just a few steps. First, install the necessary dependencies. Then, configure the environment variables and start the server. Finally, register the server in your AI application and start verifying emails.Applicable Scenarios
Suitable for application scenarios that require quick verification of email addresses, such as online registration forms, customer support systems, and any business processes that need to ensure the accuracy of communication channels.Main Features
Email Format VerificationCheck if the email address conforms to the standard format.
Domain Name VerificationConfirm if the domain name in the email address exists and is valid.
Deliverability CheckEvaluate if the email address can be successfully sent to the target recipient.
Advantages and Limitations
Advantages
Real-time verification of email addresses
Easy integration into existing systems
Support for multiple language environments
Limitations
Requires an internet connection to run
May incur additional costs (based on API call volume)
How to Use
Clone the Repository
Use Git to clone the MCP Email Verify project to your local machine.
Install UV
If UV is not installed, follow the official guide to install it.
Create a Virtual Environment
Use UV to create and activate a virtual environment.
Install Dependencies
Install the required dependencies according to the pyproject.toml file.
Configure Environment Variables
Create a .env file in the root directory and add your AbstractAPI key.
Start the Server
Run the script to start the MCP Email Verify server.
Usage Examples
Verify an Email AddressAsk the AI assistant to verify the validity of an email address.
Frequently Asked Questions
How to get an AbstractAPI key?
What should I do if I encounter an error?
Related Resources
MCP Email Verify Official Documentation
Learn more about MCP Email Verify.
GitHub Repository
View the source code and contribution guidelines.
YouTube Video Tutorial
Watch a demonstration on how to set up and use MCP Email Verify.
Featured MCP Services

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
141
4.5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
86
4.3 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
566
5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
754
4.8 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points