MCP Community Portal: Collaborate & Elevate Projects Globally

Modern, community-driven hub for Docker Model Context Protocol (MCP) servers, tools, and resources—explore, collaborate, and elevate your projects with the global developer ecosystem." )

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About MCP Community Portal

What is MCP Community Portal: Collaborate & Elevate Projects Globally?

The MCP Community Portal is a centralized hub for developers and organizations to access pre-built Model Context Protocol (MCP) server implementations, tools, and documentation. Hosted on Docker Hub and powered by containerization, this platform simplifies integration of AI assistants like Claude with external systems through standardized MCP protocols. It features community-maintained resources and tools to accelerate AI-driven project development at scale.

How to Use MCP Community Portal: Collaborate & Elevate Projects Globally?

Deploy MCP Servers: Pull containerized services like mcp/postgres or mcp/git directly from Docker Hub
Integrate with Gordon AI: Configure gordon-mcp.yml files to connect AI workflows with containerized tools
Contribute Resources: Fork the repository, update YAML manifests in _data/, and submit PRs following contribution guidelines
Local Development: Use Jekyll to run the portal locally with jekyll serve for testing contributions

MCP Community Portal Features

Key Features of MCP Community Portal: Collaborate & Elevate Projects Globally?

Containerized Ecosystem: Secure, isolated MCP server deployments via Docker Hub
AI Integration Framework: Pre-configured Gordon AI workflows with一键式Docker compose setups
Community Curation: Crowd-sourced catalog of over 7 verified server implementations and growing
Developer Convenience: Copy-to-paste CLI commands and auto-generated documentation snippets
Extensibility: Customize deployments using Docker volumes, networks, and environment variables

Use Cases of MCP Community Portal: Collaborate & Elevate Projects Globally?

Data Access Layer: Securely expose databases (PostgreSQL/SQLite) to AI models via mcp/database servers
Automated Workflows: Schedule time-based tasks using mcp/time for Claude-powered automation
CI/CD Integration: Deploy GitHub repository management capabilities through mcp/github
Content Processing: Enable web scraping and file manipulation using mcp/fetch and mcp/filesystem
Custom Tool Development: Create and share new MCP server implementations through the contribution framework

MCP Community Portal FAQ

FAQ from MCP Community Portal: Collaborate & Elevate Projects Globally?

Q: How do I add a new MCP server to the portal?

A: Fork the repository, update the _data/mcp_servers.yml manifest with your container details, and submit a pull request

Q: Can I customize security settings for container deployments?

A: Yes - use Docker Compose volumes, environment variables, and network configurations to enforce access controls

Q: What AI assistants are supported?

A: Primarily Anthropic's Claude series, but the MCP protocol supports any compliant LLM through standardized API patterns

Q: How is the portal maintained?

A: The community-driven model relies on contributions from developers and organizations, with Docker providing official image governance

Content

MCP Community Portal

A modern, community-driven collection of Model Context Protocol (MCP) servers, tools, and resources. This repository powers the website at ajeetraina.github.io/docker-mcp-portal.

About

The MCP Community Portal aims to be the most comprehensive, up-to-date resource for integration with the Model Context Protocol (MCP). This portal showcases how Docker provides containerized MCP servers and integrates them with tools like Gordon AI.

What is the Model Context Protocol (MCP) and Docker's Role?

The Model Context Protocol (MCP) is an open protocol designed by Anthropic that enables AI assistants such as Claude to interact with external tools and data sources in a standardized way.

Docker's role with MCP includes:

Official Container Images : Docker has partnered with Anthropic to build and maintain container images for MCP servers, available on Docker Hub under the mcp/ namespace
Gordon AI Integration : Docker's CLI AI assistant "Gordon" can interact with MCP servers through a gordon-mcp.yml configuration file (which is a Docker Compose file)
Security and Isolation : Running MCP servers as containers provides security, isolation, and resource management benefits
Extensibility : Users can leverage Docker Compose's features to extend MCP server capabilities with bind mounts, environment variables, and other Docker features

MCP Servers Available on Docker Hub

Docker Hub hosts various MCP servers under the mcp/ namespace, including:

mcp/time : Provides time-related capabilities for AI assistants
mcp/fetch : Enables web content retrieval
mcp/filesystem : Allows secure file operations with configurable access controls
mcp/postgres : Provides database interaction capabilities
mcp/git : Enables Git repository management
mcp/sqlite : Offers SQLite database interaction
mcp/github : Facilitates GitHub repository management

And many more, which are cataloged and documented in this portal.

Contributing

We welcome contributions! To add an MCP server or tool to the list:

Fork this repository
Add your entry to _data/mcp_servers.yml or _data/mcp_tools.yml
Submit a pull request

For detailed instructions, please see CONTRIBUTING.md.

Local Development

To run this site locally:

Install Jekyll
Clone this repository
Run bundle install
Run bundle exec jekyll serve
Open http://localhost:4000 in your browser

Features

Modern UI : Clean, responsive design
Filtering : Filter by tags, search by name
Sorting : Sort by date added, alphabetically
One-click copy : Copy Docker pull commands with a single click
Community-driven : Easy contribution process
Mobile-friendly : Works on all devices

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

All contributors who have submitted their MCP implementations
The Collabnix community
Docker for creating container images for MCP servers
Anthropic for developing the Model Context Protocol standard

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