This project takes a number of MCP servers from GitHub locations, packages them together with this repo's GHCR container, and launches them with docker-compose to run as a stack for ML/AI resources.
Overview
What is MCP-Mealprep?
MCP-Mealprep is a project that packages multiple Model Context Protocol (MCP) servers along with their Dockerfiles, allowing users to deploy them as a stack for machine learning and AI resources using Docker and Portainer.
How to use MCP-Mealprep?
To use MCP-Mealprep, you need to have Docker and optionally Portainer installed. You can deploy the stack by uploading the docker-compose.yml file in Portainer and configuring any required environment variables.
Key features of MCP-Mealprep?
- Curated collection of MCP servers for various AI tasks
- Easy deployment using Docker and Portainer
- Supports multiple integrations like GitHub, Slack, Google Drive, and more
Use cases of MCP-Mealprep?
- Quickly set up a development environment for AI projects.
- Integrate various AI services for enhanced functionality.
- Experiment with different MCP servers for research and development.
FAQ from MCP-Mealprep?
- What is the Model Context Protocol (MCP)?
MCP is a framework that allows AI models to interact with various tools and data sources securely.
- Do I need Portainer to use MCP-Mealprep?
No, Portainer is optional but provides a user-friendly interface for managing Docker containers.
- Can I customize the servers included in the stack?
Yes, you can add or remove servers by modifying the
docker-compose.ymlfile.