Memory-IA MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Memory-IA MCP ServerContinue our chat about Python decorators from yesterday"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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Memory-IA MCP Server
Model Context Protocol (MCP) Server - Agente IA com Memória Persistente para VS Code, Gemini-CLI, Cursor e outras ferramentas.
🚀 Features
Chat com Memória Persistente - Agente IA com contexto SQLite
Ollama Integrado - Suporte a modelos locais (llama3.2, qwen, etc)
JSON-RPC Protocol - Comunicação padronizada MCP
Auto-Restart - Serviço systemd com restart automático
Multi-Client - Funciona em VS Code, Gemini-CLI, terminal, etc
Related MCP server: DevFlow MCP
📋 Stack
Python 3.12 com FastAPI
LangGraph + LangChain para agentes
SQLite para memória persistente
Ollama para LLM local
systemd para gerenciamento
🔧 Instalação
1. Clonar repositório
cd ~ git clone https://github.com/seu-usuario/memory-ia-mcp.git cd memory-ia-mcp
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2. Criar ambiente virtual
python3 -m venv memorivenv source memorivenv/bin/activate
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3. Instalar dependências
pip install -r requirements.txt
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4. Executar MCP Server
./run_mcp.sh
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🎯 Uso Rápido
Terminal
echo '{"jsonrpc":"2.0","method":"tools/list","id":1}' | python src/mcp_server.py
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VS Code
Configuração em
~/.config/Code/User/mcp.jsonAbra Command Palette:
Ctrl+Shift+PProcure por
MCP: List ServersSelecione
memory-ia-agent
Gemini-CLI
gemini-cli --mcp-server /home/helcio/memory-ia-mcp/src/mcp_server.py
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📡 Ferramentas Disponíveis
Tool | Descrição |
| Chat com memória persistente |
| Executar modelo Ollama direto |
| Status do agente |
🛠️ Serviço systemd
Status
sudo systemctl status memory-ia-mcp.service
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Logs
sudo journalctl -u memory-ia-mcp -f
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Controle
sudo systemctl restart memory-ia-mcp sudo systemctl stop memory-ia-mcp sudo systemctl start memory-ia-mcp
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📂 Estrutura
memory-ia-mcp/ ├── src/ │ ├── mcp_server.py │ ├── agente_langgraph.py │ ├── agente_persistente.py │ └── api_agente.py ├── config/ │ └── mcp.json ├── docs/ │ └── DEVELOPMENT.md ├── tests/ │ └── test_mcp.py ├── run_mcp.sh ├── requirements.txt └── README.md
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🔐 Configuração
Crie .env:
OLLAMA_URL=http://localhost:11434 AGENT_PORT=8000 DEBUG=False
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📖 Documentação
🤝 Contribuições
Sinta-se livre para abrir issues e PRs!
Desenvolvido com ❤️
Última atualização: Nov 28, 2025
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