Mcps Ia
What is Mcps Ia
MCPs-IA is a project focused on Artificial Intelligence applications using Python, designed to accelerate development with a modern and efficient framework.
Use cases
Use cases for MCPs-IA include developing AI-driven applications, creating prototypes for machine learning models, and building educational tools for learning Python and AI concepts.
How to use
To use MCPs-IA, clone the repository, initialize your environment with uv, and configure your environment variables in a .env file. Then, you can start the client and server scripts.
Key features
Key features include a simple project structure, easy dependency management with uv, and the ability to quickly set up and run AI applications.
Where to use
MCPs-IA can be used in various fields such as software development, AI research, and educational projects that involve machine learning and data analysis.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcps Ia
MCPs-IA is a project focused on Artificial Intelligence applications using Python, designed to accelerate development with a modern and efficient framework.
Use cases
Use cases for MCPs-IA include developing AI-driven applications, creating prototypes for machine learning models, and building educational tools for learning Python and AI concepts.
How to use
To use MCPs-IA, clone the repository, initialize your environment with uv, and configure your environment variables in a .env file. Then, you can start the client and server scripts.
Key features
Key features include a simple project structure, easy dependency management with uv, and the ability to quickly set up and run AI applications.
Where to use
MCPs-IA can be used in various fields such as software development, AI research, and educational projects that involve machine learning and data analysis.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
🚀 MCPs-IA
Bem-vindo ao MCPs-IA!
Um projeto focado em aplicações de Inteligência Artificial com Python, pronto para acelerar seu desenvolvimento com uma estrutura moderna e eficiente.
✨ Comece em minutos
-
Clone o repositório:
git clone https://github.com/LoboProgrammingg/MCPs-IA.git cd MCPs-IA -
Inicie seu ambiente com o uv:
uv init uv add fastmcp genai google-genai google-generativeai python-dotenv wikipedia -
Configure as variáveis de ambiente:
- Crie um arquivo
.envna raiz do projeto com suas configurações.
- Crie um arquivo
📂 Estrutura do Projeto
├── client.py ├── servidor.py ├── .env ├── .gitignore ├── pyproject.toml ├── .python-version ├── README.md ├── uv.lock └── .venv/
- client.py: Script principal do cliente.
- servidor.py: Script principal do servidor.
- .env: Variáveis de ambiente.
- pyproject.toml: Gerenciamento das dependências.
- uv.lock: Lockfile do uv.
- .venv/: Ambiente virtual (não versionado).
⚡ Requisitos
- Python 3.11+
- uv instalado
Instale com:pip install uv
🛠️ Principais Scripts
- Inicie o cliente:
python client.py - Inicie o servidor:
python servidor.py
📦 Gerenciamento de Dependências
- Para adicionar novos pacotes:
uv add <nome-do-pacote> - O arquivo
pyproject.tomle ouv.lockserão atualizados automaticamente.
🤝 Contribua!
Contribuições são super bem-vindas!
Basta abrir um issue ou um pull request com sua ideia, sugestão ou correção.
Feito por LoboProgrammingg
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
