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MCP Gateway
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MCP Gateway

MCP Gateway is a Docker CLI plugin for managing and deploying Model Context Protocol servers. It supports integration with multiple AI clients and provides functions such as server management, client connection, security authentication, and configuration backup.
Developer toolsVirtualization#Docker plugin#MCP management#AI integration#Server deployment.Go
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Overview

Content Details

Alternatives

What is MCP Gateway?

MCP Gateway is a powerful Docker command-line plugin specifically designed for managing Model Context Protocol (MCP) servers. It acts like an intelligent butler, helping you easily deploy, configure, and manage various MCP servers in Docker containers, allowing AI assistants (such as Claude, Cursor, etc.) to securely access and use external tools and services.

How to use MCP Gateway?

After installation, you can manage MCP servers through simple Docker commands: discover available servers, deploy them to containers, connect to AI clients, manage security credentials, etc. The entire process is as simple and intuitive as managing ordinary Docker containers.

Applicable scenarios

Suitable for developers, AI engineers, data scientists, and other users who need to integrate external tools and services in the AI assistant environment. Whether you want to add database query capabilities to Claude or enable Cursor to access API services, MCP Gateway can help you achieve this easily.

Main features

Server catalog management
Discover, browse, and manage available MCP servers, support pulling server images from the OCI registry, and easily find the required tools and services.
Docker containerized deployment
Run MCP servers as Docker containers to ensure environment isolation, resource control, and easy management, and support automatic configuration and startup.
Multi-client support
Support mainstream AI clients such as Claude Desktop, Cursor, VS Code, and Zed, and automatically configure client connections without manually modifying configuration files.
Security credential management
Securely store and manage sensitive information such as API keys and access tokens, support the OAuth authentication process, and protect your data security.
Access policy control
Define fine-grained access control policies to restrict which tools can be accessed by which clients, ensuring a secure and controllable usage environment.
Configuration backup and restoration
Backup and restore all configurations of the MCP server, including the catalog, connection settings, and security credentials, for easy migration and disaster recovery.
Advantages
Ready to use: Can be used after installation without a complex configuration process
Containerized isolation: Each MCP server runs in an independent Docker container without interference
Unified management: Manage all MCP servers through unified Docker commands with low learning costs
Safe and reliable: Built-in security mechanisms protect sensitive information and support access control policies
Rich ecosystem: Supports multiple AI clients and MCP servers with strong scalability
Limitations
Depends on Docker: Requires installing and running a Docker environment
Learning curve: Requires understanding basic Docker and MCP concepts
Resource consumption: Each MCP server requires independent container resources
Network requirements: Some servers may need to access external network resources

How to use

Install MCP Gateway
First, build the plugin from the source code and then install it in the Docker CLI plugin directory. Make sure the Go language environment and Docker are installed.
Browse available servers
View the available MCP server catalog to understand which tools and services are available.
Deploy an MCP server
Select the required MCP server and deploy it as a Docker container. The system will automatically handle configuration and startup.
Connect to an AI client
Connect the deployed MCP server to your AI client, such as Claude Desktop or Cursor.
Configure security credentials
Set API keys or other security credentials for MCP servers that require authentication.

Usage examples

Add database query capabilities to Claude
Deploy an MCP server that supports SQL queries, allowing Claude to directly query the database and obtain data.
Integrate a weather API in Cursor
Deploy a weather query MCP server, allowing Cursor to obtain real-time weather information when writing code.
Add a code analysis tool to VS Code
Deploy a code quality inspection MCP server to analyze the code quality in real-time in VS Code and provide improvement suggestions.

Frequently Asked Questions

What's the difference between MCP Gateway and ordinary Docker?
Do I need to understand the MCP protocol to use it?
Is MCP Gateway secure?
Which AI clients are supported?
How to add a custom MCP server?
Will the MCP server affect the performance of my AI assistant?

Related resources

GitHub repository
The source code and latest version of MCP Gateway
Model Context Protocol official website
The official documentation and specifications of the MCP protocol
Docker documentation
The official usage documentation of Docker
MCP server examples
Official MCP server examples
Claude Desktop configuration guide
The configuration and usage guide for Claude Desktop

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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