MCP Collection
M

MCP Collection

MCP-Collection is a Docker image project that integrates multiple Model-Context-Protocol (MCP) servers and provides access through a unified entry point. The project supports selecting the required MCP server at runtime through a single parameter, has a built-in supergateway for remote access, is suitable for Kubernetes environments, and emphasizes security and deterministic builds.
2 points
6.6K

What is MCP-Collection?

MCP-Collection is an innovative solution that packages multiple MCP servers into a single Docker image. Users can choose to start different MCP servers by running just one command, without the need to install and configure each service separately.

How to use MCP-Collection?

It's very simple to use: after pulling the Docker image, you can start the corresponding MCP service by specifying different server name parameters. All services are accessible through the unified port 8080.

Use cases

It is suitable for scenarios where multiple MCP services need to be quickly deployed, especially in Kubernetes environments. It is also suitable for developers who need to test the interaction between different MCP services.

Main Features

Multi-server support
One image contains 9 different MCP servers, including Git, calculator, time service, etc.
Remote access support
Built-in supergateway that automatically provides HTTP/SSE and WebSocket interfaces
Kubernetes optimization
Designed specifically for Kubernetes, includes health check endpoints and runs with a non-root user
Security features
No shell environment, minimizes the attack surface. It is recommended to use with TLS and an authentication gateway.
Advantages
Simplified deployment: Multiple services can be started with one command
Resource-efficient: Based on a lightweight distroless image (<80MB)
Production-ready: Built-in health check and monitoring support
Version locking: Dependencies are fixed to ensure consistency
Limitations
Limited flexibility: New servers cannot be dynamically added
Learning curve: Basic knowledge of Docker is required
Resource limitations: All services share container resources

How to Use

Pull the image
Get the latest image from the GitHub container registry
View available servers
Run the container without parameters to view the list of supported services
Start a specific service
Select the required service and start it, such as the Git service

Usage Examples

Rapid prototype development
Developers can quickly start multiple MCP services to test application integration
Kubernetes deployment
Deploy multiple MCP services as microservices in a K8s cluster

Frequently Asked Questions

How to add a custom MCP server?
Will the services affect each other?
How to monitor the health status of the services?

Related Resources

Official GitHub repository
Source code and issue tracking
Supergateway documentation
Understand the built-in gateway functionality
MCP protocol specification
Official documentation of the MCP protocol

Installation

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

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
10.5K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
10.1K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
14.8K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.7K
4 points
P
Paperbanana
Python
8.9K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
9.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
10.0K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
9.7K
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
28.3K
4.3 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
39.1K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
80.1K
4.3 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
24.8K
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#
38.4K
5 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
69.4K
4.5 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
24.9K
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
107.6K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase