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Docker MCP Servers

by tatsuiman

This repository provides Docker configurations for running MCP (Multi-Channel Platform) servers. It includes configurations for Slack, Notion, and GitHub integrations.

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What is Docker MCP Servers?

Docker MCP Servers provides pre-configured Docker images and commands to easily run MCP servers for various platforms like Slack, Notion, and GitHub. These servers facilitate integration and automation between these platforms.

How to use Docker MCP Servers?

To use these servers, you need to have Docker installed. Then, use the provided docker run commands, replacing the placeholder tokens with your actual API tokens for each platform. For example, for Slack, you'll need to provide your Slack bot token and team ID.

Key features of Docker MCP Servers

  • Easy deployment with Docker

  • Pre-configured for Slack, Notion, and GitHub

  • Simplified integration setup

  • Containerized for portability

Use cases of Docker MCP Servers

  • Automating tasks between Slack and Notion

  • Integrating GitHub events with Slack notifications

  • Building custom workflows across multiple platforms

  • Creating a centralized hub for managing information from different sources

FAQ from Docker MCP Servers

What is an MCP server?

MCP stands for Multi-Channel Platform. In this context, it refers to servers that facilitate communication and data exchange between different platforms.

Do I need to know Docker to use these servers?

Basic knowledge of Docker is helpful, but the provided commands should be sufficient for getting started.

Where do I get the API tokens for each platform?

Refer to the documentation for each platform (Slack, Notion, GitHub) to learn how to generate the necessary API tokens.

Can I customize these Docker images?

Yes, you can customize the Docker images by modifying the Dockerfiles or extending them with your own configurations.

Are these servers production-ready?

These configurations provide a starting point. You may need to adjust them based on your specific production requirements, such as adding monitoring, scaling, and security measures.