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MCP-Mealprep

Created By
JoshuaRL8 months ago
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?

  1. Quickly set up a development environment for AI projects.
  2. Integrate various AI services for enhanced functionality.
  3. 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.yml file.

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