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Ideas MCP Server

Ideas MCP Server

Local
github.com/4cabrer4Cloud & Infra0Updated 74w ago

About Ideas MCP Server

Ideas MCP Server is a repository of executable prototypes for a cloud infrastructure and service automation platform, intended for developers exploring its implementation. It includes automation scripts, IaC templates, and microservice prototypes.

Key features

  1. 01Infrastructure provisioning and deployment scripts
  2. 02IaC templates
  3. 03Microservice prototypes and orchestration
  4. 04API usage tracking and pricing models

Use cases

  1. 01Evaluate cloud infrastructure automation approaches
  2. 02Review service prototypes and run containerized services

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Ideas MCP Server

This repository contains executable prototypes based on early planning documents for a cloud-based infrastructure and service automation platform.

Structure

  • automation/: Scripts for provisioning, maintenance and deployment
  • infrastructure/: Infrastructure as Code (IaC) templates
  • monetization/: API usage tracking and pricing models
  • services/: Microservice prototypes and orchestration
  • roadmap/: Development plan and future tasks

Requirements

  • AWS CLI
  • Python 3
  • Flask (for services)
  • Docker (for containerization)

How to Use

  1. Clone this repository:

    git clone https://github.com/yourusername/Ideas-MCP-server.git
    cd Ideas-MCP-server
    
  2. Review and execute scripts under each folder.

  3. Launch services with:

    cd services
    docker-compose up --build
    

License

MIT License

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.