AIBase
EN
Explore
Agentmail MCP
A

Agentmail MCP

The AgentMail MCP server provides tools for interacting with the AgentMail API, supporting functions such as sending, receiving, and replying to emails.
Communication toolsArtificial intelligence chatbots#Email Service#API Tool#MCP Integration.TypeScript
2.5 points
4.3K
Open Site

Overview

Installation

Content Details

Alternatives

What is the AgentMail MCP Server?

The AgentMail MCP server is a bridge that connects AI assistants with the AgentMail email service. It allows AI assistants (such as Claude, ChatGPT, etc.) to access email functions through the standardized Model Context Protocol (MCP) interface, including operations such as reading email content, sending new emails, and replying to existing emails.

How to use the AgentMail MCP Server?

Using the AgentMail MCP server requires three steps: First, obtain an AgentMail API key. Then, add the server configuration to the MCP client configuration file. Finally, the AI assistant can manage your emails through natural language instructions. The entire process does not require writing code and can be enabled with simple configuration.

Use Cases

The AgentMail MCP server is particularly suitable for scenarios where AI assistants are needed to assist in handling emails. For example, having the AI summarize unread emails, automatically reply to common inquiries, draft professional email drafts, manage email classification and priorities, etc. Whether it's personal email management or team collaboration, it can significantly improve efficiency.

Main Features

Email Reading Function
The AI assistant can read your email content, including sender, recipient, subject, body, and attachment information, helping you quickly understand the email content.
Email Sending Function
Through natural language instructions, the AI assistant can help you compose and send new emails, supporting complete email elements such as specifying recipients, subjects, and body content.
Email Reply Function
The AI assistant can reply to specific emails, maintaining the coherence of the email thread and ensuring that communication records are complete and organized.
Selective Tool Enablement
Supports enabling specific functional tools on demand. You can choose to enable only some email functions according to your actual needs, improving security and flexibility.
Standardized MCP Interface
Adopts the standard Model Context Protocol interface, compatible with various AI assistant clients that support MCP, ensuring stable and reliable connection and communication.
Advantages
Allows AI assistants to manage emails without writing code.
Supports selective function enablement to improve security.
Standardized protocol ensures compatibility and stability.
Simple configuration, can be set up in a few minutes.
Natural language interaction, low usage threshold.
Limitations
Requires an AgentMail account and API key.
Depends on MCP client support (such as Claude Desktop).
Functions are limited by the AgentMail API.
Requires a stable network connection.

How to Use

Obtain an API Key
Visit the AgentMail official website (https://agentmail.to) to register an account and obtain your API key.
Configure the MCP Client
Add the AgentMail server configuration to the configuration file of your MCP client (such as Claude Desktop).
Selectively Enable Tools (Optional)
If you only need some functions, you can specify the list of tools to enable in the configuration.
Restart the Client and Start Using
Save the configuration file and restart the MCP client. Then you can let the AI assistant manage your emails through natural language instructions.

Usage Examples

Email Summary and Organization
Let the AI assistant help you organize your inbox, summarize the key information of unread emails, and sort them by priority.
Automatic Reply to Common Inquiries
Set the AI assistant to automatically reply to common technical support or inquiry emails, providing standardized reply content.
Email Draft Composition
Let the AI assistant compose a professional email draft according to your needs. You only need to review and send it.

Frequently Asked Questions

Is the AgentMail MCP server secure?
Do I need programming knowledge to use it?
Which MCP clients are supported?
Can I use multiple email accounts simultaneously?
How are email attachments handled?

Related Resources

AgentMail Official Website
The official platform for registering accounts, obtaining API keys, and learning about the AgentMail service.
Model Context Protocol Documentation
Understand the technical specifications and standards of the MCP protocol.
Claude Desktop Configuration Guide
A detailed guide on how to configure the MCP server in Claude Desktop.
GitHub Repository
The source code and latest updates of the AgentMail MCP server.

Installation

Copy the following command to your Client for configuration
{
    "mcpServers": {
        "AgentMail": {
            "command": "npx",
            "args": ["-y", "agentmail-mcp"],
            "env": {
                "AGENTMAIL_API_KEY": "YOUR_API_KEY"
            }
        }
    }
}

{
    "mcpServers": {
        "AgentMail": {
            "command": "npx",
            "args": ["-y", "agentmail-mcp", "--tools", "get_message,send_message,reply_to_message"],
            "env": {
                "AGENTMAIL_API_KEY": "YOUR_API_KEY"
            }
        }
    }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

B
Blueprint MCP
Blueprint MCP is a chart generation tool based on the Arcade ecosystem. It uses technologies such as Nano Banana Pro to automatically generate visual charts such as architecture diagrams and flowcharts by analyzing codebases and system architectures, helping developers understand complex systems.
Python
6.9K
4 points
M
MCP Agent Mail
MCP Agent Mail is a mail - based coordination layer designed for AI programming agents, providing identity management, message sending and receiving, file reservation, and search functions, supporting asynchronous collaboration and conflict avoidance among multiple agents.
Python
8.4K
5 points
K
Klavis
Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.
TypeScript
12.7K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
8.9K
4 points
M
Mcpjungle
MCPJungle is a self-hosted MCP gateway used to centrally manage and proxy multiple MCP servers, providing a unified tool access interface for AI agents.
Go
0
4.5 points
N
Nexus
Nexus is an AI tool aggregation gateway that supports connecting multiple MCP servers and LLM providers, providing tool search, execution, and model routing functions through a unified endpoint, and supporting security authentication and rate limiting.
Rust
0
4 points
Z
Zen MCP Server
Zen MCP is a multi-model AI collaborative development server that provides enhanced workflow tools and cross-model context management for AI coding assistants such as Claude and Gemini CLI. It supports seamless collaboration of multiple AI models to complete development tasks such as code review, debugging, and refactoring, and can maintain the continuation of conversation context between different workflows.
Python
18.0K
5 points
O
Opendia
OpenDia is an open - source browser extension tool that allows AI models to directly control the user's browser, perform automated operations using existing login status, bookmarks and other data, support multiple browsers and AI models, and focus on privacy protection.
JavaScript
15.4K
5 points
N
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
17.5K
4.5 points
M
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
27.2K
5 points
G
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
19.3K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
53.2K
4.3 points
F
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
50.8K
4.5 points
U
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#
24.0K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
18.1K
4.5 points
C
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
75.8K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2025AIBase