MCP Dockerized Server
A minimal, containerized MCP server that exposes a Streamable HTTP transport with API key authentication, allowing secure access to MCP endpoints.
What is MCP Dockerized Server?
MCP Dockerized Server is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to minimal, containerized mcp server that exposes a streamable http transport with api key authentication, allowing secure access to mcp endpoints.
A minimal, containerized MCP server that exposes a Streamable HTTP transport with API key authentication, allowing secure access to MCP endpoints.
This server falls under the Cloud Services category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A minimal, containerized MCP server that exposes a Streamabl
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx mcp-dockerized-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about MCP Dockerized Server
What is MCP Dockerized Server?
MCP Dockerized Server is a Model Context Protocol (MCP) server that minimal, containerized mcp server that exposes a streamable http transport with api key authentication, allowing secure access to mcp endpoints. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install MCP Dockerized Server?
Follow the installation instructions on the MCP Dockerized Server GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with MCP Dockerized Server?
MCP Dockerized Server works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is MCP Dockerized Server free to use?
Yes, MCP Dockerized Server is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Cloud Services MCP Servers
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Set Up MCP Dockerized Server in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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